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    "---\n",
    "title: \"Трудоустройство и зарплаты выпускников российских вузов\"\n",
    "author: \"Автор анализа Михаил Бельведерский\"\n",
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    "---"
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    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.offsetbox import OffsetImage, AnnotationBbox\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import plotting_settings\n",
    "plotting_settings.set_mpl()\n",
    "\n",
    "from ru_graduates.map_figure import mapFigure\n",
    "import plotly.io as pio\n",
    "pio.renderers.default = \"notebook\"\n",
    "from IPython.display import display"
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    "## Данные\n",
    "\n",
    "Данные о трудоустройстве выпускников российских организаций среднего специального и высшего образования по направлениям подготовки и уровням образования, собранные из открытых дашбордов Мониторинга трудоустройства выпускников Роструда.\n",
    "\n",
    "В датасете представлены:\n",
    "\n",
    "- численность выпускников\n",
    "- доля занятых\n",
    "- средняя зарплата\n",
    "- наименование региона или федерального округа\n",
    "- коды ОКТМО и ОКАТО\n",
    "\n",
    "__Данные о трудоустройстве и приведены по состоянию на 31.12.2023, о зарплате — за 12 месяцев 2023 года.__\n",
    "\n",
    "__Источник__: Роструд, __обработка__: «Если быть точным»\n",
    "\n",
    "<font color=\"gray\">Трудоустройство и зарплаты выпускников по направлениям подготовки//Роструд; обработка «Если быть точным», 2024. Условия использования: Creative Commons BY 4.0. URL: https://tochno.st/datasets/graduates_fields</font>"
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    "smaller_df = pd.read_csv(\n",
    "    'data/data_graduates_specialty_125_v20240709_csv/data_graduates_study_area_125_v20240611.csv', sep=';'\n",
    "    )\n",
    "\n",
    "fed_dist_bachelor_df = smaller_df.query(\n",
    "    'object_level == \"Федеральный округ\" &'\n",
    "    'education_level == \"Бакалавриат, специалитет\" &'\n",
    "    'gender == \"Всего\"')\n",
    "\n",
    "fed_dist_master_df = smaller_df.query(\n",
    "    'object_level == \"Федеральный округ\" &'\n",
    "    'education_level == \"Магистратура\" &'\n",
    "    'gender == \"Всего\"')\n",
    "\n",
    "# print('Пропуски в данных:', '\\n')\n",
    "# for column, n_empty in smaller_df.isna().sum().items():\n",
    "#     if n_empty > 0:\n",
    "#         print(\n",
    "#             f'В \"{column}\" пропущено {n_empty} из {len(smaller_df)} значений'\n",
    "#             f' ({n_empty / len(smaller_df):.0%})'\n",
    "#             )\n",
    "        \n",
    "# for column in smaller_df.columns:\n",
    "#     unique_values = smaller_df[column].unique()\n",
    "#     if len(unique_values) < 20:\n",
    "#         print(f'{column}: {unique_values}', '\\n')"
   ]
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   "source": [
    "<div class=\"alert alert-info\"> <b> 🔎</b> На этой карте можно узнать, к каким федеральным округам (ФО) относятся разные области России </div>"
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r,s,l=o(t,e),u=l.on,c=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(u.length||c.length){for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}}},87192:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308);t.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var u=a(\"borderwidth\"),c=a(\"showarrow\");if(a(\"text\",c?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),c){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&u||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),v=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",v.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),y=a(\"hoverlabel.bordercolor\",v.bordercolor||i.contrast(g)),m=n.extendFlat({},v.font);m.color||(m.color=y),n.coerceFont(a,\"hoverlabel.font\",m)}a(\"captureevents\",!!d)}},26828:function(t,e,r){\"use strict\";var n=r(38248),i=r(36896);t.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,u,c=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<c.length;h++)l=c[h],u=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(u+t,s)}}},45216:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(13916);function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),u=a(\"clicktoshow\");if(l||u){o(t,e,r,a);for(var c=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var v=f[d],g=i.coerceRef(t,e,p,v,\"\",\"paper\");if(\"paper\"!==g&&i.getFromId(p,g)._annIndices.push(e._index),i.coercePosition(e,p,a,g,v,.5),c){var y=\"a\"+v,m=i.coerceRef(t,e,p,y,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==m&&m!==g&&(m=e[y]=\"pixel\");var x=\"pixel\"===m?h[d]:.4;i.coercePosition(e,p,a,m,y,x)}a(v+\"anchor\"),a(v+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),c&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),u){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 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L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},O=+e.textangle||0,P=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),I=P.append(\"g\").classed(\"annotation-text-g\",!0),D=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],z=e.captureevents||k.annotationText||D,R=I.append(\"g\").style(\"pointer-events\",z?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",W(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontShadow:n.fontShadow,fontLineposition:n.fontLineposition,fontTextcase:n.fontTextcase},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(Y)}else n.selectAll(\"#\"+L).remove();function W(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return r.call(c.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),v=c.bBox((f?n:G).node()),b=v.width,_=v.height,A=e.width||b,z=e.height||_,B=Math.round(A+2*N),q=Math.round(z+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var Y=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var K,J,$,Q,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(O+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ut=e[et+\"anchor\"],ct=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(Y=!0):Y=!0),K=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ht;\"x\"===et?($=e[et],K=dt?it._offset+it._length*$:K=T.l+T.w*$):($=1-e[et],K=dt?it._offset+it._length*$:K=T.t+T.h*$),Q=e.showarrow?.5:$}if(e.showarrow){ft.head=K;var vt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(vt=1-vt),ft.tail=it._offset+it._length*vt):\"paper\"===gt?\"y\"===et?(vt=1-vt,ft.tail=T.t+T.h*vt):ft.tail=T.l+T.w*vt:ft.tail=it._offset+it.r2p(vt),J=tt}else ft.tail=K+vt,J=tt+vt;ft.text=ft.tail+tt;var yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else J=tt=lt*H(Q,ut),ft.text=K+tt;ft.text+=ct,tt+=ct,J+=ct,e[\"_\"+et+\"padplus\"]=lt/2+J,e[\"_\"+et+\"padminus\"]=lt/2-J,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,q-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),I.attr({transform:\"rotate(\"+O+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){P.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(O,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+O+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",m(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",m(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,\"x\",T,e);else{var l=e._xsize/T.w,u=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(u+t/T.w,l,0,1,e.xanchor)}if(x)o=m(x,r,\"y\",T,e);else{var c=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-c/2;o=d.align(f-r/T.h,c,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}I.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",W(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},33652:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(72196),o=r(3400),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void D();var C=p.getPointAtLength(0),O=p.getPointAtLength(.1);f=Math.atan2(C.y-O.y,C.x-O.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var 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lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:\"y\"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return 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a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=O+B.l+tt*I,e=P+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=O+B.l+tt*I,e=P+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=P+B.t+et*D+3+.75*yt,t=O+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(X);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(K,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var 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n,s=K+M/2;-1===gt.indexOf(\"inside\")&&(n=p.bBox(mt.node()),s+=o?n.width:n.height),dt=vt.select(\"text\");var u=0,f=o&&\"top\"===V,v=!o&&\"right\"===V,g=0;if(dt.node()&&!dt.classed(A.jsPlaceholder)){var m,x=vt.select(\".h\"+lt._id+\"title-math-group\").node();x&&(o&&ut||!o&&!ut)?(u=(n=p.bBox(x)).width,m=n.height):(u=(n=p.bBox(vt.node())).right-B.l-(o?rt:st),m=n.bottom-B.t-(o?st:rt),o||\"top\"!==V||(s+=n.height,g=n.height)),v&&(dt.attr(\"transform\",c(u/2+yt/2,0)),u*=2),s=Math.max(s,o?u:m)}var b=2*(o?O:P)+s+S+M/2,w=0;!o&&U.text&&\"bottom\"===C&&D<=0&&(b+=w=b/2,g+=w),F._hColorbarMoveTitle=w,F._hColorbarMoveCBTitle=g;var N=S+M,j=(o?rt:st)-N/2-(o?O:0),q=(o?st:rt)-(o?$:P+g-w);t.select(\".\"+A.cbbg).attr(\"x\",j).attr(\"y\",q).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var H=v?Math.max(u-10,0):0;t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?rt:st+O)+H).attr(\"y\",(o?st+P-$:rt)+(f?xt:0)).attr(o?\"width\":\"height\",Math.max(K,2)).attr(o?\"height\":\"width\",Math.max($-(o?2*P+xt:2*O+H),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M});var G=o?nt*b:0,W=o?0:(1-it)*b-g;if(G=R?B.l-G:-G,W=z?B.t-W:-W,t.attr(\"transform\",c(G,W)),!o&&(S||i(E).getAlpha()&&!i.equals(F.paper_bgcolor,E))){var Y=mt.selectAll(\"text\"),X=Y[0].length,Z=t.select(\".\"+A.cbbg).node(),J=p.bBox(Z),Q=p.getTranslate(t);Y.each((function(t,e){var r=X-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=J.right+Q.x+st-S-2+I-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=J.left+Q.x+st+S+2-s)<0&&(n=0)}n&&(X<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var tt={},et=T[L],at=k[L],ot=T[C],ct=k[C],ft=b-K;o?(\"pixels\"===h?(tt.y=D,tt.t=$*ot,tt.b=$*ct):(tt.t=tt.b=0,tt.yt=D+l*ot,tt.yb=D-l*ct),\"pixels\"===_?(tt.x=I,tt.l=b*et,tt.r=b*at):(tt.l=ft*et,tt.r=ft*at,tt.xl=I-y*et,tt.xr=I+y*at)):(\"pixels\"===h?(tt.x=I,tt.l=$*et,tt.r=$*at):(tt.l=tt.r=0,tt.xl=I+l*et,tt.xr=I-l*at),\"pixels\"===_?(tt.y=1-D,tt.t=b*ot,tt.b=b*ct):(tt.t=ft*ot,tt.b=ft*ct,tt.yt=D-y*ot,tt.yb=D+y*ct));var ht=e.y<.5?\"b\":\"t\",pt=e.x<.5?\"l\":\"r\";r._fullLayout._reservedMargin[e._id]={};var bt={r:F.width-j-G,l:j+tt.r,b:F.height-q-W,t:q+tt.b};R&&z?a.autoMargin(r,e._id,tt):R?r._fullLayout._reservedMargin[e._id][ht]=bt[ht]:z||o?r._fullLayout._reservedMargin[e._id][pt]=bt[pt]:r._fullLayout._reservedMargin[e._id][ht]=bt[ht]}],r)}(r,e,t);y&&y.then&&(t._promises||[]).push(y),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,u=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+c(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/u.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/u.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 0!==e._traceIndex?o.call(\"_guiRestyle\",r,n,e._traceIndex):o.call(\"_guiRelayout\",r,n)}}})}(r,e,t)})),e.exit().each((function(e){a.autoMargin(t,e._id)})).remove(),e.order()}}},90553:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t){return n.isPlainObject(t.colorbar)}},55080:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"colorbar\",attributes:r(42996),supplyDefaults:r(64013),draw:r(37848).draw,hasColorbar:r(90553)}},49084:function(t,e,r){\"use 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nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt,gt=[],yt=[],mt={hLinePoint:null,vLinePoint:null},xt=!1;if(Array.isArray(e))for(S=\"array\",at=0;at<e.length;at++)(st=t.calcdata[e[at].curveNumber||0])&&(lt=st[0].trace,\"skip\"!==st[0].trace.hoverinfo&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0)));else{var bt,_t,wt=t.calcdata.slice();for(wt.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),ot=0;ot<wt.length;ot++)st=wt[ot],\"skip\"!==(lt=st[0].trace).hoverinfo&&x.isTraceInSubplots(lt,b)&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var Tt=l.getBoundingClientRect();bt=e.clientX-Tt.left,_t=e.clientY-Tt.top,_._calcInverseTransform(t);var kt=o.apply3DTransform(_._invTransform)(bt,_t);if(bt=kt[0],_t=kt[1],bt<0||bt>K[0]._length||_t<0||_t>J[0]._length)return v.unhoverRaw(t,e)}else bt=\"xpx\"in e?e.xpx:K[0]._length/2,_t=\"ypx\"in 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a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ft=\"closest\"):(ft=\"\",\"xval\"in a&&(ht=a.xval,ft=\"x\"),\"yval\"in a&&(pt=a.yval,ft=ft?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ht=r,pt=n):(ht=nt[ct],pt=it[ct]);if(vt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ht,pt,ft,{finiteRange:!0,hoverLayer:_._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>vt&&(gt.splice(0,vt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var c=lt._module.hoverPoints(dt,ht,pt,\"closest\",{hoverLayer:_._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=rt}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=Et(p),(!mt.vLinePoint||mt.vLinePoint.spikeDistance>f.spikeDistance)&&(mt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=Et(g),(!mt.hLinePoint||mt.hLinePoint.spikeDistance>f.spikeDistance)&&(mt.hLinePoint=f))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Lt={fullLayout:_,container:_._hoverlayer,event:e},Ct=t._spikepoints,Ot={vLinePoint:mt.vLinePoint,hLinePoint:mt.hLinePoint};t._spikepoints=Ot;var Pt=function(){var t=gt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var It=S.charAt(0),Dt=(\"x\"===It||\"y\"===It)&&gt[0]&&O[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var zt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Dt);mt.hLinePoint=Et(zt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Dt);mt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=v.unhoverRaw(t,e);return!M||null===mt.hLinePoint&&null===mt.vLinePoint||U(Ct)&&j(t,mt,Lt),Ft}if(M&&U(Ct)&&j(t,mt,Lt),x.isXYhover(ft)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=C[Bt.trace.type]?gt.filter((function(t){return 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B=t.xa._offset+(t.x0+t.x1)/2,N=t.ya._offset+(t.y0+t.y1)/2,U=Math.abs(t.x1-t.x0),V=Math.abs(t.y1-t.y0),X=W(r,w.node()),Z=X.width/i._invScaleX,K=X.height/i._invScaleY;t.ty0=(q-X.top)/i._invScaleY,t.bx=Z+2*L,t.by=Math.max(K+2*L,z),t.anchor=\"start\",t.txwidth=Z,t.tx2width=D,t.offset=0;var J,$,Q=(Z+E+L+D)*i._invScaleX;if(s)t.pos=B,J=N+V/2+Q<=G,$=N-V/2-Q>=0,\"top\"!==t.idealAlign&&J||!$?J?(N+=V/2,t.anchor=\"start\"):t.anchor=\"middle\":(N-=V/2,t.anchor=\"end\"),t.crossPos=N;else{if(t.pos=N,J=B+U/2+Q<=H,$=B-U/2-Q>=0,\"left\"!==t.idealAlign&&J||!$)if(J)B+=U/2,t.anchor=\"start\";else{t.anchor=\"middle\";var tt=Q/2,et=B+tt-H,rt=B-tt;et>0&&(B-=et),rt<0&&(B+=-rt)}else B-=U/2,t.anchor=\"end\";t.crossPos=B}w.attr(\"text-anchor\",t.anchor),D&&I.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",l(B,N)+(s?u(T):\"\"))})),{hoverLabels:Et,commonLabelBoundingBox:Q}}function R(t,e,r,n,i,a){var s=\"\",l=\"\";void 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r=n.select(this);if(this._imgSrc!==e.source)if(r.attr(\"xmlns\",s.svg),e.source&&\"data:\"===e.source.slice(0,5))r.attr(\"xlink:href\",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(\"crossOrigin\",\"anonymous\"),n.onerror=i,n.onload=function(){var e=document.createElement(\"canvas\");e.width=this.width,e.height=this.height,e.getContext(\"2d\",{willReadFrequently:!0}).drawImage(this,0,0);var n=e.toDataURL(\"image/png\");r.attr(\"xlink:href\",n),t()},r.on(\"error\",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function y(e){var r,o,s=n.select(this),u=a.getFromId(t,e.xref),c=a.getFromId(t,e.yref),f=\"domain\"===a.getRefType(e.xref),h=\"domain\"===a.getRefType(e.yref),p=l._size;r=void 0!==u?\"string\"==typeof e.xref&&f?u._length*e.sizex:Math.abs(u.l2p(e.sizex)-u.l2p(0)):e.sizex*p.w,o=void 0!==c?\"string\"==typeof 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},7402:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(65760),supplyLayoutDefaults:r(25024),includeBasePlot:r(36632)(\"images\"),draw:r(60963),convertCoords:r(63556)}},3800:function(t,e,r){\"use strict\";var n=r(25376),i=r(22548);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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A=v._isShape;(v.showlegend||v._dfltShowLegend&&!(v._module&&v._module.attributes&&v._module.attributes.showlegend&&!1===v._module.attributes.showlegend.dflt))&&(x++,v.showlegend&&(b=!0,(!A&&n.traceIs(v,\"pie-like\")||!0===v._input.showlegend)&&x++),i.coerceFont(g,\"legendgrouptitle.font\",m)),(!A&&n.traceIs(v,\"bar\")&&\"stack\"===r.barmode||-1!==[\"tonextx\",\"tonexty\"].indexOf(v.fill))&&(_=u.isGrouped({traceorder:_})?\"grouped+reversed\":\"reversed\"),void 0!==v.legendgroup&&\"\"!==v.legendgroup&&(_=u.isReversed({traceorder:_})?\"reversed+grouped\":\"grouped\")}var M=i.coerce(e,r,l,\"showlegend\",b&&x>(\"legend\"===t?1:0));if(!1===M&&(r[t]=void 0),(!1!==M||f.uirevision)&&(p(\"uirevision\",r.uirevision),!1!==M)){p(\"borderwidth\");var S,E,L,C=\"h\"===p(\"orientation\"),O=\"paper\"===p(\"yref\"),P=\"paper\"===p(\"xref\"),I=\"left\";if(C?(S=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(e.xaxis)?O?(E=1.1,L=\"bottom\"):(E=1,L=\"top\"):O?(E=-.1,L=\"top\"):(E=0,L=\"bottom\")):(E=1,L=\"auto\",P?S=1.02:(S=1,I=\"right\")),i.coerce(f,h,{x:{valType:\"number\",editType:\"legend\",min:P?-2:0,max:P?3:1,dflt:S}},\"x\"),i.coerce(f,h,{y:{valType:\"number\",editType:\"legend\",min:O?-2:0,max:O?3:1,dflt:E}},\"y\"),p(\"traceorder\",_),u.isGrouped(r[t])&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"indentation\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"xanchor\",I),p(\"yanchor\",L),p(\"valign\"),i.noneOrAll(f,h,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",C?\"left\":\"top\");var D=i.extendFlat({},d,{size:i.bigFont(d.size)});i.coerceFont(p,\"title.font\",D)}}}}t.exports=function(t,e,r){var n,a=r.slice(),o=e.shapes;if(o)for(n=0;n<o.length;n++){var s=o[n];if(s.showlegend){var l={_input:s._input,visible:s.visible,showlegend:s.showlegend,legend:s.legend};a.push(l)}}var u=[\"legend\"];for(n=0;n<a.length;n++)i.pushUnique(u,a[n].legend);for(e._legends=[],n=0;n<u.length;n++){var f=u[n];c(f,t,e,a),e[f]&&e[f].visible&&(e[f]._id=f),e._legends.push(f)}}},31140:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=r(7316),o=r(24040),s=r(95924),l=r(86476),u=r(43616),c=r(76308),f=r(72736),h=r(33048),p=r(65196),d=r(84284),v=d.LINE_SPACING,g=d.FROM_TL,y=d.FROM_BR,m=r(35456),x=r(2012),b=r(42451),_=1,w=/^legend[0-9]*$/;function T(t,e){var r,s,h=e||{},d=t._fullLayout,w=P(h),T=h._inHover;if(T?(s=h.layer,r=\"hover\"):(s=d._infolayer,r=w),s){var S;if(r+=d._uid,t._legendMouseDownTime||(t._legendMouseDownTime=0),T){if(!h.entries)return;S=m(h.entries,h)}else{for(var I=(t.calcdata||[]).slice(),D=d.shapes,z=0;z<D.length;z++){var R=D[z];if(R.showlegend){var F={_isShape:!0,_fullInput:R,index:R._index,name:R.name||R.label.text||\"shape 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=P(i);i||(i=a[o]);var 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n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 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a=t.select(\"g[class*=math-group]\"),o=a.node(),s=P(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function O(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function P(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,O=m.legend,P=m._fullInput;if(P&&P._isShape||!n.traceIs(m,\"pie-like\")){var I,D=k&&k.length,z=[];if(D)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&z.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(D)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var B,N,j,U,V=!0;for(x=0;x<y.length;x++)if(B=(U=y[x])===m,N=!0!==U.showlegend,!(B||N||D&&U.legendgroup===k||U.legend!==O||!0!==U.visible||n.traceIs(U,\"notLegendIsolatable\"))){V=!1;break}for(x=0;x<y.length;x++)if(!1!==(U=y[x]).visible&&U.legend===O&&!n.traceIs(U,\"notLegendIsolatable\"))switch(m.visible){case\"legendonly\":tt(U,!0);break;case!0:j=!!V||\"legendonly\",B=U===m,N=!0!==U.showlegend&&!U.legendgroup,tt(U,!!(B||D&&U.legendgroup===k||N)||j)}}for(x=0;x<S.length;x++)if(_=S[x]){var q=_.constructUpdate(),H=Object.keys(q);for(b=0;b<H.length;b++)w=H[b],(A[w]=A[w]||[])[E[x]]=q[w]}for(T=Object.keys(A),x=0;x<T.length;x++)for(w=T[x],b=0;b<M.length;b++)A[w].hasOwnProperty(b)||(A[w][b]=void 0);C?n.call(\"_guiUpdate\",e,A,{shapes:L},M):n.call(\"_guiRestyle\",e,A,M)}else{var G=d.label,W=p.indexOf(G);if(\"toggle\"===l)-1===W?p.push(G):p.splice(W,1);else if(\"toggleothers\"===l){var Y=-1!==W,X=[];for(x=0;x<e.calcdata.length;x++){var Z=e.calcdata[x];for(b=0;b<Z.length;b++){var 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strict\";e.isGrouped=function(t){return-1!==(t.traceorder||\"\").indexOf(\"grouped\")},e.isVertical=function(t){return\"h\"!==t.orientation},e.isReversed=function(t){return-1!==(t.traceorder||\"\").indexOf(\"reversed\")}},2780:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"legend\",layoutAttributes:r(3800),supplyLayoutDefaults:r(77864),draw:r(31140),style:r(2012)}},2012:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(3400),o=a.strTranslate,s=r(43616),l=r(76308),u=r(94288).extractOpts,c=r(43028),f=r(10528),h=r(69656).castOption,p=r(65196);function d(t,e){return(e?\"radial\":\"horizontal\")+(t?\"\":\"reversed\")}function v(t){var e=t[0].trace,r=e.contours,n=c.hasLines(e),i=c.hasMarkers(e),a=e.visible&&e.fill&&\"none\"!==e.fill,o=!1,s=!1;if(r){var l=r.coloring;\"lines\"===l?o=!0:n=\"none\"===l||\"heatmap\"===l||r.showlines,\"constraint\"===r.type?a=\"=\"!==r._operation:\"fill\"!==l&&\"heatmap\"!==l||(s=!0)}return{showMarker:i,showLine:n,showFill:a,showGradientLine:o,showGradientFill:s,anyLine:n||o,anyFill:a||s}}function g(t,e,r){return t&&a.isArrayOrTypedArray(t)?e:t>r?r:t}t.exports=function(t,e,r){var y=e._fullLayout;r||(r=y.legend);var m=\"constant\"===r.itemsizing,x=r.itemwidth,b=(x+2*p.itemGap)/2,_=o(b,0),w=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return m?n:Math.min(i,r)};function T(t,a,o){var 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rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},c.tableRotation={name:\"tableRotation\",title:function(t){return u(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},c.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return u(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},c.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return u(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},c.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},c.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var O=[],P=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(P=[\"toggleHover\"],I=[\"resetViews\"]):y?(O=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(P=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(O=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?P=[\"hoverClosestGl2d\"]:m?P=[\"hoverClosestPie\"]:A?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):P=[\"toggleHover\"],v&&P.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(P=[]),!v&&!b||M||(O=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==P.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(O.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new u({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},26680:function(t,e,r){\"use strict\";var n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return 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w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){\"use strict\";var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],O=l._rl[1],P=O-C;if(l.p2d=function(t){return t/l._width*P+C},l.d2p=function(t){return(t-C)/P*l._width},r.rangebreaks){var I=r.locateBreaks(C,O);if(I.length){var D,z,R=0;for(D=0;D<I.length;D++)R+=(z=I[D]).max-z.min;var F=l._width/(O-C-R),B=[-F*C];for(D=0;D<I.length;D++)z=I[D],B.push(B[B.length-1]-F*(z.max-z.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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h=u(n.d2p(r._rl[0])),p=u(n.d2p(r._rl[1]));if(t.select(\"rect.\"+v.slideBoxClassName).attr(\"x\",h).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMinClassName).attr(\"width\",h),t.select(\"rect.\"+v.maskMaxClassName).attr(\"x\",p).attr(\"width\",n._width-p),\"match\"!==a.rangemode){var d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+v.maskMinOppAxisClassName).attr(\"x\",h).attr(\"height\",d).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMaxOppAxisClassName).attr(\"x\",h).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-h),t.select(\"rect.\"+v.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d)}var 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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n=r(76308),i=r(3400);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return t?\"bottom\":-1!==e.indexOf(\"top\")?\"top\":-1!==e.indexOf(\"bottom\")?\"bottom\":\"middle\"}(o,u)),r(\"newshape.label.padding\"),i.coerceFont(r,\"newshape.label.font\",e.font)}r(\"activeshape.fillcolor\"),r(\"activeshape.opacity\")}},9856:function(t,e,r){\"use strict\";var n=r(21984),i=r(7e3),a=i.CIRCLE_SIDES,o=i.SQRT2,s=r(5840),l=s.p2r,u=s.r2p,c=[0,3,4,5,6,1,2],f=[0,3,4,1,2];function h(t,e){return Math.abs(t-e)<=1e-6}function p(t,e){var r=e[1]-t[1],n=e[2]-t[2];return Math.sqrt(r*r+n*n)}e.writePaths=function(t){var e=t.length;if(!e)return\"M0,0Z\";for(var r=\"\",n=0;n<e;n++)for(var i=t[n].length,a=0;a<i;a++){var o=t[n][a][0];if(\"Z\"===o)r+=\"Z\";else for(var s=t[n][a].length,l=0;l<s;l++){var u=l;\"Q\"===o||\"S\"===o?u=f[l]:\"C\"===o&&(u=c[l]),r+=t[n][a][u],l>0&&l<s-1&&(r+=\",\")}}return r},e.readPaths=function(t,e,r,i){var o,s,c,f=n(t),h=[],p=-1,d=0,v=0,g=function(){s=d,c=v};g();for(var y=0;y<f.length;y++){var m,x,b,_,w=[],T=f[y][0],k=T;switch(T){case\"M\":h[++p]=[],d=+f[y][1],v=+f[y][2],w.push([k,d,v]),g();break;case\"Q\":case\"S\":m=+f[y][1],b=+f[y][2],d=+f[y][3],v=+f[y][4],w.push([k,d,v,m,b]);break;case\"C\":m=+f[y][1],b=+f[y][2],x=+f[y][3],_=+f[y][4],d=+f[y][5],v=+f[y][6],w.push([k,d,v,m,b,x,_]);break;case\"T\":case\"L\":d=+f[y][1],v=+f[y][2],w.push([k,d,v]);break;case\"H\":k=\"L\",d=+f[y][1],w.push([k,d,v]);break;case\"V\":k=\"L\",v=+f[y][1],w.push([k,d,v]);break;case\"A\":k=\"L\";var A=+f[y][1],M=+f[y][2];+f[y][4]||(A=-A,M=-M);var S=d-A,E=v;for(o=1;o<=a/2;o++){var L=2*Math.PI*o/a;w.push([k,S+A*Math.cos(L),E+M*Math.sin(L)])}break;case\"Z\":d===s&&v===c||(d=s,v=c,w.push([k,d,v]))}for(var C=(r||{}).domain,O=e._fullLayout._size,P=r&&\"pixel\"===r.xsizemode,I=r&&\"pixel\"===r.ysizemode,D=!1===i,z=0;z<w.length;z++){for(o=0;o+2<7;o+=2){var R=w[z][o+1],F=w[z][o+2];void 0!==R&&void 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},93940:function(t,e,r){\"use strict\";var n=r(72760),i=n.drawMode,a=n.openMode,o=r(7e3),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(5840),d=p.p2r,v=p.r2p,g=r(1936).clearOutline,y=r(9856),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],O=n[l][1],P=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),O=v(y.xaxis,O),P=v(y.xaxis,P),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(O+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-O+P-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0-(d.x0shift||0)),f(\"x1\",v.x1-(d.x1shift||0)),f(\"y0\",v.y0-(d.y0shift||0)),f(\"y1\",v.y1-(d.y1shift||0));break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var u=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(u(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else 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r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,u,c,f,h,p,d,v=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),m=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),b=t._fullLayout._size,_=o(m,r.x0shift),w=o(m,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(m?\"domain\"===g?l=function(t){return m._offset+m._length*t}:(s=e.shapePositionToRange(m),l=function(t){return m._offset+m.r2p(s(t,!0))}):l=function(t){return b.l+b.w*t},x?\"domain\"===y?c=function(t){return x._offset+x._length*(1-t)}:(u=e.shapePositionToRange(x),c=function(t){return x._offset+x.r2p(u(t,!0))}):c=function(t){return b.t+b.h*(1-t)},\"path\"===v)return m&&\"date\"===m.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(c=e.decodeDate(c)),function(t,e,r){var 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T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return 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n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function O(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+f.containerClassName).data(a.length>0?[0]:[]);function 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e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var v=\"left\";s.isRightAnchor(e)&&(r.lx-=h,v=\"right\"),s.isCenterAnchor(e)&&(r.lx-=h/2,v=\"center\");var g=\"top\";s.isBottomAnchor(e)&&(r.ly-=p,g=\"bottom\"),s.isMiddleAnchor(e)&&(r.ly-=p/2,g=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),i.autoMargin(t,A(e),{x:e.x,y:e.y,l:h*({right:1,center:.5}[v]||0),r:h*({left:1,center:.5}[v]||0),b:p*({top:1,middle:.5}[g]||0),t:p*({bottom:1,middle:.5}[g]||0)})}function A(t){return f.autoMarginIdRoot+t._index}function M(t,e,r,n){n=n||{};var i=t.select(\".\"+f.itemRectClassName),a=t.select(\".\"+f.itemTextClassName),s=e.borderwidth,u=r.index,h=e._dims;o.setTranslate(t,s+r.x,s+r.y);var p=-1!==[\"up\",\"down\"].indexOf(e.direction),d=n.height||(p?h.heights[u]:h.height1);i.attr({x:0,y:0,width:n.width||(p?h.width1:h.widths[u]),height:d});var 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s=r._toppaper.append(\"g\").classed(\"layer-above\",!0);r._imageUpperLayer=s.append(\"g\").classed(\"imagelayer\",!0),r._shapeUpperLayer=s.append(\"g\").classed(\"shapelayer\",!0),r._selectionLayer=r._toppaper.append(\"g\").classed(\"selectionlayer\",!0),r._infolayer=r._toppaper.append(\"g\").classed(\"infolayer\",!0),r._menulayer=r._toppaper.append(\"g\").classed(\"menulayer\",!0),r._zoomlayer=r._toppaper.append(\"g\").classed(\"zoomlayer\",!0),r._hoverlayer=r._hoverpaper.append(\"g\").classed(\"hoverlayer\",!0),r._modebardiv.classed(\"modebar-container\",!0).style(\"position\",\"absolute\").style(\"top\",\"0px\").style(\"right\",\"0px\"),t.emit(\"plotly_framework\")}(t),d._shouldCreateBgLayer&&delete d._shouldCreateBgLayer),g.initGradients(t),g.initPatterns(t),f&&p.saveShowSpikeInitial(t);var y=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;y&&h.doCalcdata(t);for(var 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S=\"\";n.noTicklabelposition&&\"multicategory\"!==M||(S=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===b?[\"outside\",\"inside\"]:\"x\"===_?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==S.indexOf(\"inside\")?\"hide past domain\":\"category\"===M||\"multicategory\"===M?\"allow\":\"hide past div\"),g(e,m),v(t,e,r,n),p(t,e,r,n),\"category\"===M||n.noHover||r(\"hoverformat\");var E=r(\"color\"),L=E!==l.color.dflt?E:w.color,C=T.label||m._dfltTitle[_];if(h(t,e,r,M,n),!k)return e;r(\"title.text\",C),a.coerceFont(r,\"title.font\",w,{overrideDflt:{size:a.bigFont(w.size),color:L}}),u(t,e,r,M);var O=n.hasMinor;if(O&&(o.newContainer(e,\"minor\"),u(t,e,r,M,{isMinor:!0})),f(t,e,r,M,n),c(t,e,r,n),O){var 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r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},51184:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=i.numberFormat,o=r(49760),s=r(89184),l=r(24040),u=i.strTranslate,c=r(72736),f=r(76308),h=r(43616),p=r(93024),d=r(54460),v=r(93972),g=r(86476),y=r(72760),m=y.selectingOrDrawing,x=y.freeMode,b=r(84284).FROM_TL,_=r(73696),w=r(39172).redrawReglTraces,T=r(7316),k=r(79811).getFromId,A=r(22676).prepSelect,M=r(22676).clearOutline,S=r(22676).selectOnClick,E=r(21160),L=r(33816),C=L.MINDRAG,O=L.MINZOOM,P=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){for(var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){P&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),P=!1)}function G(t){var 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s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Ot={element:bt,gd:t,plotinfo:e};function Pt(){Ot.plotinfo.selection=!1,M(t)}function It(t,r){var i=Ot.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Ot),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:P,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>O||o>O?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>O||o>O){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),O)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-O-.5)+\"h-3v\"+(2*O+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-O-.5)+\"h3v\"+(2*O+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,O)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-O-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*O+1)+\"v3ZM\"+(e-O-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*O+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),q(t),Gt(),H(t)}Ot.prepFn=function(e,r,n){var a=Ot.dragmode,s=t._fullLayout.dragmode;s!==a&&(Ot.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Ot.minDrag=1:Ot.minDrag=void 0,m(s)?(Ot.xaxes=K,Ot.yaxes=J,A(e,r,n,Ot,s)):(Ot.clickFn=It,m(a)&&Pt(),ot||(\"zoom\"===s?(Ot.moveFn=Dt,Ot.doneFn=Rt,Ot.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Ot.moveFn=Ut,Ot.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Ot.moveFn(e.dx,e.dy))}}},g.init(Ot);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function qt(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var 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n=r(33428),i=r(83356),a=i.geoPath,o=i.geoDistance,s=r(87108),l=r(24040),u=r(3400),c=u.strTranslate,f=r(76308),h=r(43616),p=r(93024),d=r(7316),v=r(54460),g=r(19280).getAutoRange,y=r(86476),m=r(22676).prepSelect,x=r(22676).clearOutline,b=r(22676).selectOnClick,_=r(79248),w=r(79552),T=r(27144),k=r(59972),A=r(55712).NO;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var 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0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==c&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===c||\"north america\"===c&&50===u)&&(r(\"showsubunits\",x),r(\"subunitcolor\"),r(\"subunitwidth\")),d||r(\"showframe\",x)&&(r(\"framecolor\"),r(\"framewidth\")),r(\"bgcolor\"),r(\"fitbounds\")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):y?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}t.exports=function(t,e,r){i(t,e,r,{type:\"geo\",attributes:s,handleDefaults:u,fullData:r,partition:\"y\"})}},79248:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=r(24040),o=Math.PI/180,s=180/Math.PI,l={cursor:\"pointer\"},u={cursor:\"auto\"};function c(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],u=o._fullLayout,c=u[n],f={},h={};function p(t,e){f[n+\".\"+t]=i.nestedProperty(l,t).get(),a.call(\"_storeDirectGUIEdit\",s,u._preGUI,f);var r=i.nestedProperty(c,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+\".\"+t]=e)}r(p),p(\"projection.scale\",e.scale()/t.fitScale),p(\"fitbounds\",!1),o.emit(\"plotly_relayout\",h)}function h(t,e){var r=c(0,e);function i(r){var n=e.invert(t.midPt);r(\"center.lon\",n[0]),r(\"center.lat\",n[1])}return r.on(\"zoomstart\",(function(){n.select(this).style(l)})).on(\"zoom\",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render(!0);var r=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":r[0],\"geo.center.lat\":r[1]})})).on(\"zoomend\",(function(){n.select(this).style(u),f(t,e,i)})),r}function p(t,e){var r,i,a,o,s,h,p,d,v,g=c(0,e);function y(t){return e.invert(t)}function m(r){var n=e.rotate(),i=e.invert(t.midPt);r(\"projection.rotation.lon\",-n[0]),r(\"center.lon\",i[0]),r(\"center.lat\",i[1])}return g.on(\"zoomstart\",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=y(r)})).on(\"zoom\",(function(){if(h=n.mouse(this),function(t){var r=y(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return g.scale(e.scale()),void g.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?y(h)&&(d=y(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=y(r=h),v=!0,t.render(!0);var l=e.rotate(),u=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":u[0],\"geo.center.lat\":u[1],\"geo.projection.rotation.lon\":-l[0]})})).on(\"zoomend\",(function(){n.select(this).style(u),v&&f(t,e,m)})),g}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){\"use strict\";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e,r){var i,a=[],o=[];if(!(i=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[a,t];for(var s=r,l=0;l<t.length;l++){var u=t[l],c=u[0].trace,f=void 0!==c.zorder;!0===c.visible&&0!==c._length&&(!c._module||c._module.plot!==i||f&&c.zorder!==s?o.push(u):a.push(u))}return[a,o]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 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\"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,O=s.radialAxis,P=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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I,D,z,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,D=null,z=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==D?t[i.id+\".radialaxis.angle\"]=D:null!==z&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=z)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==D?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",D):null!==z&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",z)}function H(t,e){if(0!==r){var n=b+t,a=_+e;D=Math.atan2(d-a,n-p),i.vangles&&(D=U(D,i.vangles)),D=F(D);var o=l(p,d)+s(-D);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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v.coerceEnumerated(x,r)}(z,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],z),G=d.getInsideTextFont(z,i,q,H),W=d.getOutsideTextFont(z,i,q),Y=z.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&X.s0<=0&&(f=P.range[0]<P.range[1]?P._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=D(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=D(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=z.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"outside\"===z.constraintext,angle:lt}):O(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"inside\"===z.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===z.type?\"bar\":z.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,P,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,z,e,g)},toMoveInsideBar:O}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},60100:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(43616),o=r(3400),s=r(24040),l=r(82744).resizeText,u=r(20832),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(60444);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed(\"bartext-inside\")){var o=_(e,r);a=m(r,e.i,i,o)}else t.classed(\"bartext-outside\")&&(a=x(r,e.i,i));return 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86040:function(t,e,r){\"use strict\";var n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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P=C.selectAll(\"text\").data(O);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}P.enter().append(\"text\"),P.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),P.exit().remove();var D,z=v.mode+v.align;if(v._hasDelta&&(D=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((y+g)/2-t/2*(g-y)).outerRadius((y+g)/2+t/2*(g-y)).startAngle(-E)}function O(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var P=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},I={},D=d.makeLabelFns(o,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*D},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(D+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*c)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var z=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return z(P(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=P(t);return z(e)+\"rotate(\"+-u(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:I})}var F=[m].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(O).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(O).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(O).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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P=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?P.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var I=r.filter((function(){return c.gauge.threshold.value||0===c.gauge.threshold.value})),D=f.selectAll(\"g.threshold-bullet\").data(I);D.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),D.select(\"line\").attr(\"x1\",i.c2p(c.gauge.threshold.value)).attr(\"x2\",i.c2p(c.gauge.threshold.value)).attr(\"y1\",(1-c.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-c.gauge.threshold.thickness)/2)*A).call(m.stroke,c.gauge.threshold.line.color).style(\"stroke-width\",c.gauge.threshold.line.width),D.exit().remove();var z=f.selectAll(\"g.gauge-outline\").data([g]);z.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),z.select(\"rect\").call(L).call(T),z.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var K=I.selectAll(\"text.title\").data(e);K.exit().remove(),K.enter().append(\"text\").classed(\"title\",!0),K.attr(\"text-anchor\",(function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 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p={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},74212:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(27260),o=r(52948);t.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function u(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return t&&t.length===e[0].length}))&&e}u([\"x\",\"y\",\"z\"])?(u([\"i\",\"j\",\"k\"]),(!e.i||e.j&&e.k)&&(!e.j||e.k&&e.i)&&(!e.k||e.i&&e.j)?(n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],s),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach((function(t){l(t)})),l(\"contour.show\")&&(l(\"contour.color\"),l(\"contour.width\")),\"intensity\"in 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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o=r(\"x\"),s=r(\"open\"),l=r(\"high\"),u=r(\"low\"),c=r(\"close\");if(r(\"hoverlabel.split\"),n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\"],a),s&&l&&u&&c){var f=Math.min(s.length,l.length,u.length,c.length);return o&&(f=Math.min(f,i.minRowLength(o))),e._length=f,f}}},36664:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400);t.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var u=a.tickLen,c=e.selectAll(\"path\").data(i.identity);c.enter().append(\"path\"),c.exit().remove(),c.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-u,!0),r=s.c2p(t.pos+u,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},97384:function(t){\"use strict\";t.exports=function(t,e){var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",O).on(\"drag\",P).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,c=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,f=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,h=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u,textcase:c,lineposition:f,shadow:h}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=O(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function O(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=O(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=O(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+O(i.px0,i.pxmid,!0,1)+O(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+O(i.px0,i.pxmid,!1,k)+O(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=O(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+O(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function O(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),O=(.5*S-v.r)/h.w,P=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-O,xr:M.x[1]+O,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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r.update(e),r}},41904:function(t,e,r){\"use strict\";var n=r(3400),i=r(35484);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},156:function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" \"),t.exports={attributes:r(35484),supplyDefaults:r(41904),calc:r(41484),plot:r(11072),moduleType:\"trace\",name:\"pointcloud\",basePlotModule:r(39952),categories:[\"gl\",\"gl2d\",\"showLegend\"],meta:{}}},41440:function(t,e,r){\"use strict\";var n=r(25376),i=r(45464),a=r(22548),o=r(55756),s=r(86968).u,l=r(21776).Ks,u=r(49084),c=r(31780).templatedArray,f=r(29736).descriptionOnlyNumbers,h=r(92880).extendFlat,p=r(67824).overrideAll;(t.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({autoShadowDflt:!0}),customdata:void 0,node:{label:{valType:\"data_array\",dflt:[]},groups:{valType:\"info_array\",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:\"number\",editType:\"calc\"}},x:{valType:\"data_array\",dflt:[]},y:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),align:{valType:\"enumerated\",values:[\"justify\",\"left\",\"right\",\"center\"],dflt:\"justify\"}},link:{arrowlen:{valType:\"number\",min:0,dflt:0},label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},hovercolor:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),colorscales:c(\"concentrationscales\",{editType:\"calc\",label:{valType:\"string\",editType:\"calc\",dflt:\"\"},cmax:{valType:\"number\",editType:\"calc\",dflt:1},cmin:{valType:\"number\",editType:\"calc\",dflt:0},colorscale:h(u().colorscale,{dflt:[[0,\"white\"],[1,\"black\"]]})})}},\"calc\",\"nested\")).transforms=void 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x=0;for(e=0;e<a.value.length;e++)a.source[e]>x&&(x=a.source[e]),a.target[e]>x&&(x=a.target[e]);var b,_=x+1;t.node._count=_;var w=t.node.groups,T={};for(e=0;e<w.length;e++){var k=w[e];for(b=0;b<k.length;b++){var A=k[b],M=_+e;T.hasOwnProperty(A)?i.warn(\"Node \"+A+\" is already part of a group.\"):T[A]=M}}var S={source:[],target:[]};for(e=0;e<a.value.length;e++){var E=a.value[e],L=a.source[e],C=a.target[e];if(E>0&&s(L,_)&&s(C,_)&&(!T.hasOwnProperty(L)||!T.hasOwnProperty(C)||T[L]!==T[C])){T.hasOwnProperty(C)&&(C=T[C]),T.hasOwnProperty(L)&&(L=T[L]),C=+C,p[L=+L]=p[C]=!0;var O=\"\";a.label&&a.label[e]&&(O=a.label[e]);var P=null;O&&d.hasOwnProperty(O)&&(P=d[O]),u.push({pointNumber:e,label:O,color:c?a.color[e]:a.color,hovercolor:f?a.hovercolor[e]:a.hovercolor,customdata:h?a.customdata[e]:a.customdata,concentrationscale:P,source:L,target:C,value:+E}),S.source.push(L),S.target.push(C)}}var I=_+w.length,D=o(r.color),z=o(r.customdata),R=[];for(e=0;e<I;e++)if(p[e]){var F=r.label[e];R.push({group:e>_-1,childrenNodes:[],pointNumber:e,label:F,color:D?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var B=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,S.source,S.target)&&(B=!0),{circular:B,links:u,nodes:R,groups:w,groupLookup:T}}(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},11820:function(t){\"use 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n.coerce(v,g,i.node,t,e)}y(\"label\"),y(\"groups\"),y(\"x\"),y(\"y\"),y(\"pad\"),y(\"thickness\"),y(\"line.color\"),y(\"line.width\"),y(\"hoverinfo\",t.hoverinfo),l(v,g,y,d),y(\"hovertemplate\"),y(\"align\");var m=h.colorway;y(\"color\",g.label.map((function(t,e){return a.addOpacity(function(t){return m[t%m.length]}(e),.8)}))),y(\"customdata\");var x=t.link||{},b=u.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"arrowlen\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333,k=_(\"color\",T?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\");function A(t){var e=o(t);if(!e.isValid())return t;var r=e.getAlpha();return 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x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),fontWeight:_(o,\"font.weight\"),fontStyle:_(o,\"font.style\"),fontVariant:_(o,\"font.variant\"),fontTextcase:_(o,\"font.textcase\"),fontLineposition:_(o,\"font.lineposition\"),fontShadow:_(o,\"font.shadow\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var O=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-O/2,A.nodes[w].y1=C[1]+O/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function O(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var A=v.SYMBOL_SDF_SIZE,M=v.SYMBOL_SIZE,S=v.SYMBOL_STROKE,E={},L=u.symbolFuncs[0](.05*M);function C(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=u.symbolNumber(a),s=u.symbolFuncs[o%100],l=!!u.symbolNoDot[o%100],c=!!u.symbolNoFill[o%100],f=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var h=u.getMarkerAngle(t,e);return r=f&&!l?s(1.1*M,h)+L:s(M,h),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:c?S:-S}),E[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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n,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,O=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var P=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(P,I)&&w<=Math.max(P,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,O){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,O=L.t,P=O.index,I=C._length,D=O.x,z=O.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[P]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[P]=B}var N=O.xpx=new Array(I),j=O.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else O.xpx=O.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(6096),s=r(52904),l=r(5232),u=r(45464),c=r(49084),f=r(92880).extendFlat,h=r(67824).overrideAll,p=r(5232),d=o.line,v=o.marker;t.exports=h({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:f({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:f({},v.opacity,{dflt:1})},mode:f({},s.mode,{dflt:\"markers\"}),text:f({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:f({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:f({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:v.opacity,size:v.size,sizeref:v.sizeref,sizemin:v.sizemin,sizemode:v.sizemode},c(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:f({},u.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},79732:function(t){\"use 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k=b[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:b},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(m=f.size,m/2),mo:v||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(f.opacity)}}(e);O.geojson=D.geojson,O.layout.visibility=\"visible\",E&&(O.filter=[\"!\",[\"has\",\"point_count\"]],I.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":b(a.cluster.color,a.cluster.step),\"circle-radius\":b(a.cluster.size,a.cluster.step),\"circle-opacity\":b(a.cluster.opacity,a.cluster.step)}},I.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":_(a),\"text-size\":12}}),i.extendFlat(O.paint,{\"circle-color\":D.mcc,\"circle-radius\":D.mrc,\"circle-opacity\":D.mo})}if(M&&E&&(O.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):m,u=\"auto\"!==s?y(s,!0):m,f=c.hasText(n)?y(n.text):m,h=[],g=0;g<t.length;g++){var b=t[g];if(!x(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(b,n,r),A={};p(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(g);_&&(_=_.replace(d,\"\").replace(v,\"\\n\")),h.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(g),angle:u(g),text:_}})}}return{type:\"FeatureCollection\",features:h}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var z=(a.marker||{}).size,R=h(a.textposition,z);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":_(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return I}},15752:function(t,e,r){\"use strict\";var n=r(3400),i=r(43028),a=r(74428),o=r(66828),s=r(124),l=r(70840),u=r(31512),c=r(79732).isSupportedFont;t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,h);if(d){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),i.hasMarkers(e)){a(t,e,r,f,h,{noLine:!0,noAngle:!0}),h(\"marker.allowoverlap\"),h(\"marker.angle\");var v=e.marker;\"circle\"!==v.symbol&&(n.isArrayOrTypedArray(v.size)&&(v.size=v.size[0]),n.isArrayOrTypedArray(v.color)&&(v.color=v.color[0]))}i.hasLines(e)&&(o(t,e,r,f,h,{noDash:!0}),h(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),m=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),b=p(\"cluster.opacity\");if(h(\"cluster.enabled\",!1!==g||!1!==y||!1!==m||!1!==x||!1!==b)||i.hasText(e)){var _=f.font.family;s(t,e,f,h,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:c(_)?_:\"Open Sans Regular\",weight:f.font.weight,style:f.font.style,size:f.font.size,color:f.font.color}})}h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},37920:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},11960:function(t,e,r){\"use strict\";var n=r(54460);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},63312:function(t,e,r){\"use strict\";var n=r(93024),i=r(3400),a=r(44928),o=i.fillText,s=r(39032).BADNUM,l=r(47552).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,u=[];return i||a&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,u),u.join(\"<br>\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-f.c2p([x,a]),u=o.y-h.c2p([n,r]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+u*u)-c,1-3/c)}),t),!1!==t.index){var b=o[t.index],_=b.lonlat,w=[i.modHalf(_[0],360)+m,_[1]],T=f.c2p(w),k=h.c2p(w),A=b.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[c.subplot]={_subplot:p};var S=c._module.formatLabels(b,c,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(c,b),t.extraText=u(c,b,o[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}},getExtraText:u}},11572:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},O=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=O(A[1]).length,F=O(A[3]).length,B=O(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(C(A[1])),V=P(C(A[3])),q=P(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&D[H]*V<D[W]*V&&z[H]*q<z[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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C=Math.max(l(e.header.line.width),l(e.cells.line.width)),O={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+\"__\"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return O.columns.forEach((function(t){t.calcdata=O,t.x=h(t)})),O}},53056:function(t,e,r){\"use strict\";var n=r(92880).extendFlat;e.splitToPanels=function(t){var 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m(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(s.repeat,s.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return R(e,e.length-1)+(e.length?F(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-E(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return f(e,E(t))}));var o=a.selectAll(\".\"+n.cn.scrollbar).data(s.repeat,s.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=o.selectAll(\".\"+n.cn.scrollbarSlider).data(s.repeat,s.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return f(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(s.repeat,s.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var c=o.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(s.repeat,s.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,O=0|o[7],P=8191&O,I=O>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,Y)|0,i=(i=i+Math.imul(P,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,K)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(P,ft)|0,i=(i=i+Math.imul(P,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Ot=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Pt=(u+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Ot,l[16]=Pt,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=ArrayBuffer,c=DataView;function f(t){return Array.isArray(t)||function(t){return u.isView(t)&&!(t instanceof c)}(t)}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var d=p.prototype;function v(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?f(a)&&f(a[0]):f(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(f(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,h=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var v=0;v<3;++v)p[d][v]!==this.bounds[d][v]&&(h=!0),this.bounds[d][v]=p[d][v];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,c=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(d=0;d<3;++d)r[d].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],m=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||c)&&this._text.update(this.bounds,this.labels,y,this.ticks,m):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,m),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new v,new v,new v];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var m=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var b=[0,0,0],_=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),c=u.cubeEdges,f=u.axis,p=n[12],d=n[13],v=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*v+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=c[A],this.lastCubeProps.axis[A]=f[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,c,f);e=this.gl;var S,E,L,C=m;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=f[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var O=[0,0,0];f[A]>0?O[A]=a[1][A]:O[A]=a[0][A];for(var P=0;P<2;++P){var I=(A+1+P)%3,D=(A+1+(1^P))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,O,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(P=0;P<2;++P)I=(A+1+P)%3,D=(A+1+(1^P))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,O,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=h(b,M[A].primalMinor),R=h(_,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];z[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=h(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);o(u[I],u[O],u[P],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[O],l[P],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\\n\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var O=m?5:4;for(L=O;L===O;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var P=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(P[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],O=v[x],P=n.length(O)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var D=a.positions.length;a.cells.push([D-6,D-5,D-4],[D-3,D-2,D-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * (view * conePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * (view * worldPosition);\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var O,P;l?(O=x*(o[C]-c),P=x*(o[C+1]-c)):(O=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),P=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*O+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * (view * (model * vec4(position, 1.0)));\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,O=t.vertexIntensity,P=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!P)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<O.length;++R){var F=O[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=O||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),O=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,O,P,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,O=6*f[0].length,P=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*P,z=6*Math.max(0,I-P),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=O+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],O=[],P=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}function j(){for(var t=E.length,e=O.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,O.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),O.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},P=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),P=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),P=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<O.length;++t)O[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=O.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,P=P||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,P=P||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,P=P||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=O.length,n=0;n<e;++n){var i=O[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return h.isView(t)&&!(t instanceof p)}(t)}function v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function g(t,e,r,n){return v(n,n),v(n,n),v(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new y(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new x(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var b=x.prototype;b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},b.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var _=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=f.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function L(t){return t[0]=t[1]=t[2]=0,t}function C(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function O(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function I(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,p=e.axesBounds,d=function(t){for(var e=E,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],_[0]=2/o.drawingBufferWidth,_[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=_,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var y=M,m=0;m<16;++m)y[m]=0;for(m=0;m<4;++m)y[5*m]=1;y[5*v]=0,i[v]<0?y[12+v]=p[0][v]:y[12+v]=p[1][v],s(y,u,y),l.model=y;var x=(v+1)%3,b=(v+2)%3,P=L(w),I=L(T);P[x]=1,I[b]=1;var D=g(0,0,0,C(k,P)),z=g(0,0,0,C(A,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=P,P=I,I=R;var F=x;x=b,b=F}D[0]<0&&(P[x]=-1),z[1]>0&&(I[b]=-1);var B=0,N=0;for(m=0;m<4;++m)B+=Math.pow(u[4*x+m],2),N+=Math.pow(u[4*b+m],2);P[x]/=Math.sqrt(B),I[b]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=I,l.fragClipBounds[0]=O(S,d[0],v,-1e8),l.fragClipBounds[1]=O(S,d[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,_[0]=2/l.drawingBufferWidth,_[1]=2/l.drawingBufferHeight,u.screenSize=_,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=P,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function D(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1),r||(r={});var s=r.family;d(s)&&(s=s[e]),s||(s=\"normal\");var l=r.weight;d(l)&&(l=l[e]),l||(l=\"normal\");var f=r.style;d(f)&&(f=f[e]),f||(f=\"normal\");var h=r.variant;d(h)&&(h=h[e]),h||(h=\"normal\");var p=u(a,{family:s,weight:l,style:f,variant:h},i);return{mesh:(p=u(a,r,i))[0],lines:p[1],bounds:p[2],visible:o}}b.draw=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},b.drawTransparent=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},b.drawPick=function(t){I(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},b.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},b.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},b.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(d(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(d(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){d(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l={family:t.font||\"normal\",style:t.fontStyle||\"normal\",weight:t.fontWeight||\"normal\",variant:t.fontVariant||\"normal\"},u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,v=t.size,g=t.angle,y=t.lineColor,x=-1,b=0,_=0,w=0;if(s.length){w=s.length;t:for(n=0;n<w;++n){for(var T=s[n],k=0;k<3;++k)if(isNaN(T[k])||!isFinite(T[k]))continue t;var A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;b+=3*A.cells.length,_+=2*M.edges.length}}var E=b+_,L=o.mallocFloat(3*E),C=o.mallocFloat(4*E),O=o.mallocFloat(2*E),P=o.mallocUint32(E);if(E>0){var I=0,z=b,R=[0,0,0,1],F=[0,0,0,1],B=d(p)&&d(p[0]),N=d(y)&&d(y[0]);t:for(n=0;n<w;++n){for(x+=1,T=s[n],k=0;k<3;++k){if(isNaN(T[k])||!isFinite(T[k]))continue t;f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k])}A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;var j,U=j.visible;if(U)if(d(p)){if(3===(V=B?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)R[k]=V[k];R[3]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];if(U)if(d(y)){var V;if(3===(V=N?n<y.length?y[n]:[0,0,0,0]:y).length){for(k=0;k<3;++k)F[k]=V[k];F[k]=1}else if(4===V.length){for(k=0;k<4;++k)F[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else F[0]=F[1]=F[2]=0,F[3]=1;else F=[1,1,1,0];var q=.5;U?d(v)?q=n<v.length?+v[n]:12:v?q=+v:this.useOrtho&&(q=12):q=0;var H=0;d(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var G=Math.cos(H),W=Math.sin(H);for(T=s[n],k=0;k<3;++k)f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k]);var Y=i,X=a;Y=0,d(i)?Y=n<i.length?i[n]:0:i&&(Y=i),X=0,d(a)?X=n<a.length?a[n]:0:a&&(X=a);var Z=[Y*=Y>0?1-S[0][0]:Y<0?1+S[1][0]:1,X*=X>0?1-S[0][1]:X<0?1+S[1][1]:1],K=A.cells||[],J=A.positions||[];for(k=0;k<K.length;++k)for(var $=K[k],Q=0;Q<3;++Q){for(var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting 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* cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * (view * tubePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],O=(l-M)/(S-M),P=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(O)||(O=.5),isFinite(P)||(P=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,O),n.lerp(q,z,N,O),n.lerp(H,R,j,O),n.lerp(G,F,U,O);var W=n.create(),Y=n.create();n.lerp(W,V,H,P),n.lerp(Y,q,G,P);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var O=[C],P=[],I=d(C),D=C;P.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:O,velocities:P,divergences:z});for(var B=0;B<100*u&&O.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(O.push(N),D=N,P.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],O={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=O.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=O.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return O.showSurface=o,O.showContour=s,O}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=P(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,O=Math.sqrt(E*E+L*L+C*C);O<1e-8?(O=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,O=1):O=1/O:O=1/Math.sqrt(O),b.set(o,y,0,E*O),b.set(o,y,1,L*O),b.set(o,y,2,C*O)}s.free(x.data);var P=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,P[0]=Math.min(P[0],X+this.objectOffset[0]),P[1]=Math.min(P[1],Z+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[P,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,O=k*E,P=T*L,I=T*E,D=C*f.get(_,M)+O*f.get(_,S)+P*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+O*p.get(_,S)+P*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Wt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Xt,Yt,Wt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Wt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?Pn(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?Pn(Cn(t[1],t.slice(2))):\"has\"===r?On(t[1]):\"!has\"===r?Pn(On(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function On(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(Dn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new Dt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Oi=function(){return Mi},Pi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},Di=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};Di.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},Di.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a 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instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),O=0;O<C.length;O+=3)this.indexArray.emplaceBack(k+C[O],k+C[O+2],k+C[O+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Do(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,O=A+h,P=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,O/I);z.z=P/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),O=k?C:0,P=k?0:C;if(p&&this.addCurrentVertex(c,v,O,P,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-O,-P,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Ol(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Ol(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Xl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,O=null,P=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,O={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=O.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)P=j.rect,O=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;O=V.metrics}C=(_-S.scale)*Ll}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:O,rect:P}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:O,rect:P}),h+=O.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Ou(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Pu(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Oa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Di(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Oi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var O=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=di(k.toString()),F=z.fontStack||O,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,O=b.isSDF,P=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,O,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,O,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,O,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,O,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Oc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Pc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pc.convert(a))}var o=t;return this.extend(Dc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Dc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=6371008.8,Dc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},Dc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Dc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Oc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Oc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Oo(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Oi()||Pi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Pc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Pl,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],O=f.points[C];O.zoom<=e||(O.zoom=e,r.push(O))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),O=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:O,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Ot=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Ot.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ot.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ot.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Ot.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Ot.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Ot.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Ot.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Ot.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ot.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ot.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ot.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ot.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),O=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),P=se(e.writingMode,S,O,d);if(P)return P}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],O=E.path.length-1;O>=1;O--)C.push(E.path[O]);for(var P=1;P<L.path.length;P++)C.push(L.path[P]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},O=null,P=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;O=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||O.circles.length>0&&!O.collisionDetected,S=S&&O.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(P=Z(a.verticalIconBox)).box.length>0:(P=Z(a.iconBox)).box.length>0,S=S&&P.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),O&&(T&&i.collisionIndex.insertCollisionCircles(O.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<O.circles.length;tt+=4)Q.circles.push(O.circles[tt+0]),Q.circles.push(O.circles[tt+1]),Q.circles.push(O.circles[tt+2]),Q.circles.push(O.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var O=this.collisionCircleArrays[o.bucketInstanceId];t.invert(O.invProjMatrix,l),O.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var O=C?L:ze;d(e.icon,a.numIconVertices,O),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=C?ze:L;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Oe=Math.pow(2,9),Pe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Oe+e*Pe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Or=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Dr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},zr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Dr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,O=E.circleArray[C+0],P=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,O,P,I,D,0),k.emplace(A++,O,P,I,D,1),k.emplace(A++,O,P,I,D,2),k.emplace(A++,O,P,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,O=0;O<C.length;O++){var P=C.get(O);if(P.hidden)he(P.numGlyphs,d);else{var I=v[O];if(I)for(var D=0;D<P.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var O=C.programConfigurations.get(n.id),P=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(P,a,L),O),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:z,buffers:C,uniformValues:P?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Or(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&un(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,O=S.indexBuffer,P=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,P,n.id,C,O,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var O=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var P=w.gradients[n.id],I=P.texture;if(n.gradientVersion!==P.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:D,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(v,P.gradient,g.RGBA),P.version=n.gradientVersion,I=P.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,O,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Ot(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var On=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};On.prototype.clone=function(){var t=new On(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},On.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},On.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},On.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},On.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},On.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},On.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},On.prototype.zoomScale=function(t){return Math.pow(2,t)},On.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},On.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},On.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},On.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},On.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},On.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},On.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},On.prototype.coordinateLocation=function(t){return t.toLngLat()},On.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},On.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},On.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},On.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},On.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},On.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},On.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},On.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},On.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},On.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},On.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},On.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(On.prototype,Pn);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var O=E(0),P=function(t){return C(O)/C(O+_*t)},I=function(t){return w*((C(O)*(L(e=O+_*t)/C(e))-L(O))/S)/k;var e},D=(E(1)-O)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},P=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/P(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Oi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>zi)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new On(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Oi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ii))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?zi:t)>zi)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Di&&r instanceof Di){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Di&&r instanceof Di?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Di&&r instanceof Di);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Xi--,Zi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),O=c.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,I=0;P<this.counts.length;P++){for(var D=this.counts[P],z=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],O[2*I]=z.width[B],F){var j=O[2*I-2],U=O[2*I],V=O[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}O[2*I+1]=V}else O[2*I+1]=.5*O[2*I];I++}this.textWidth.push(O.length?.5*O[2*I-2]+O[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:O,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(O),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return 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vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,O=L.color,P=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(O.length||P.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=O[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=P[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(O.length||P.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=O[F]&&(E[4*F]=O[F]%f,E[4*F+1]=Math.floor(O[F]/f)),null!=P[F]&&(E[4*F+2]=P[F]%f,E[4*F+3]=Math.floor(P[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],O=E[2],P=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+O*y-S[2],b+P*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| column: screen-inset-right\n",
    "russia_map = mapFigure()\n",
    "import plotly.express as px\n",
    "\n",
    "regions = pd.read_parquet(\"data/regions/russia_regions.parquet\")\n",
    "fo_list = list(regions['federal_district'].unique())\n",
    "colors = px.colors.qualitative.Pastel1\n",
    "\n",
    "for i, r in regions.iterrows():\n",
    "    popul_text = f\"Население: <b>{r.population:_} </b>\".replace('_', ' ')\n",
    "    text = f'<b>{r.region}</b><br>{r.federal_district} ФО<br>{popul_text}'\n",
    "    russia_map.update_traces(selector=dict(name=r.region),\n",
    "        text=text,\n",
    "        fillcolor=colors[fo_list.index(r.federal_district)])\n",
    "russia_map.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Топ-3 специальностей по среднему размеру зарплат по федеральным округам\n",
    "\n",
    "В топах по округам представлены выпускники следующих спецальностей:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"./data/img/engineer.png\" width=\"25\"/> <font color=\"#1E88E5\">инженерных и технических</font>\n",
    "\n",
    "<img src=\"./data/img/nerd.png\" width=\"25\"/> <font color=\"#ff0d57\">математических и естестеннонаучных</font>\n",
    "\n",
    "<img src=\"./data/img/doctor.png\" width=\"25\"/> <font color=\"#13B755\"> медицинских </font>\n",
    "\n",
    "<img src=\"./data/img/social.png\" width=\"25\"/> <font color=\"#FFC000\">общественно-научных</font>\n",
    "\n",
    "<img src=\"./data/img/rural.png\" width=\"25\"/> <font color=\"#7C52FF\">сельскозозяйственных</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Custom formatter function\n",
    "def format_yticks(value, _):\n",
    "    if value >= 1000:\n",
    "        return f'{int(value/1000)}K'\n",
    "    else:\n",
    "        return f'{int(value)}'\n",
    "\n",
    "\n",
    "def plot_top_salaries_by_fd(df):\n",
    "\n",
    "    # Unique object names to iterate through\n",
    "    unique_objects = df['object_name'].unique()\n",
    "\n",
    "    # Setting up the grid (2 rows x 4 columns)\n",
    "    fig, axes = plt.subplots(2, 4, figsize=(10, 8))\n",
    "    axes = axes.flatten()  # Flatten the grid to make iteration easier\n",
    "\n",
    "    # Define a color dictionary for the bars\n",
    "    color_dict = {\n",
    "    'Инженерное дело, технологии и технические науки': \"#1E88E5\",\n",
    "    'Здравоохранение и медицинские науки': \"#13B755\",\n",
    "    'Математические и естественные науки': \"#ff0d57\",\n",
    "    'Сельское хозяйство и сельскохозяйственные науки': \"#7C52FF\",\n",
    "    'Науки об обществе': \"#FFC000\",\n",
    "    'Искусство и культура': \"#00AEEF\"\n",
    "    }\n",
    "\n",
    "    emoji_dict = {\n",
    "    'Инженерное дело, технологии и технические науки': 'engineer',\n",
    "    'Здравоохранение и медицинские науки': 'doctor',\n",
    "    'Математические и естественные науки': 'nerd',\n",
    "    'Сельское хозяйство и сельскохозяйственные науки': 'rural',\n",
    "    'Науки об обществе': 'social',\n",
    "    'Искусство и культура': 'art'\n",
    "    }\n",
    "\n",
    "    for i, fed_dist in enumerate(unique_objects):\n",
    "        if i >= len(axes):\n",
    "            break  # In case there are more unique objects than subplots\n",
    "\n",
    "        fed_df = df.query(f'object_name == \"{fed_dist}\"')\n",
    "        fed_stat_df = (\n",
    "            fed_df.groupby('study_area')['average_salary']\n",
    "            .median().nlargest(3)\n",
    "        ).reset_index()  # Resetting index to get a DataFrame\n",
    "\n",
    "        ax = axes[i]  # Selecting the corresponding subplot\n",
    "        \n",
    "        # Create a color mapping for hue\n",
    "        fed_stat_df['color'] = fed_stat_df['study_area'].map(color_dict)\n",
    "        # fed_master_stat_df['color'] = fed_master_stat_df['study_area'].map(color_dict)\n",
    "        # Plot with hue and disable legend\n",
    "        sns.barplot(\n",
    "            x='study_area', y='average_salary', data=fed_stat_df, ax=ax,\n",
    "            hue='color', palette=fed_stat_df['color'].tolist(),\n",
    "            legend=False, alpha=0.7)\n",
    "        \n",
    "        # Setting the title for each subplot\n",
    "        ax.set_title(fed_dist.replace('федеральный округ', ''), fontsize=18, y=1.05)\n",
    "        ax.set_ylim(0, 1.7e5)\n",
    "\n",
    "        ax.set_ylabel('')\n",
    "        ax.set_xlabel('')\n",
    "\n",
    "        # ax.set_xlabel('Специальность')\n",
    "\n",
    "        # Overlaying the image on top of each bar\n",
    "        for i, bar in enumerate(ax.patches):\n",
    "            x0 = bar.get_x() + bar.get_width() / 2.0  # Center the image horizontally on the bar\n",
    "            y0 = bar.get_height()  # Position the image at the top of the bar\n",
    "\n",
    "            bar_legend = fed_stat_df.iloc[i].study_area\n",
    "            image_file = f'{emoji_dict.get(bar_legend)}.png'\n",
    "            image = plt.imread(f'data/img/{image_file}')\n",
    "            image_box = OffsetImage(image, zoom=0.15)  # Adjust zoom as needed\n",
    "            ab = AnnotationBbox(image_box, (x0, y0), frameon=False, xycoords='data', box_alignment=(0.5, 0.0))\n",
    "            ax.add_artist(ab)\n",
    "\n",
    "            # Turn off the upper and right frame edges\n",
    "            ax.spines['right'].set_visible(False)\n",
    "            ax.spines['top'].set_visible(False)\n",
    "            ax.tick_params(axis='x', bottom=False)\n",
    "\n",
    "            # Apply the custom formatter to the y-axis\n",
    "            ax.yaxis.set_major_formatter(plt.FuncFormatter(format_yticks))\n",
    "\n",
    "        ax.set_xticklabels([])\n",
    "\n",
    "        # Adding a common text label for the entire figure\n",
    "        fig.text(0.5, 0.005, 'Специальность выпускника', ha='center', va='center', fontsize=22, fontweight='bold')\n",
    "        fig.text(0.001, 0.45, 'Средняя зарплата (рубли)', ha='center', va='center', fontsize=22, fontweight='bold', rotation=90)\n",
    "\n",
    "    # Adjust layout and show the plot\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "::: {.panel-tabset}\n",
    "\n",
    "### Бакалавры и специалисты"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 3000x2400 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_salaries_by_fd(fed_dist_bachelor_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 20px;\">cреди выпускников бакалавриата и специалитета</span>\n",
    "\n",
    "- Только выпускники <img src=\"./data/img/engineer.png\" width=\"20\"/> <font color=\"#1E88E5\">инженерных и технических</font> специальностей входят в топ-3 по среднему размеру зарплат во всех федеральных округах\n",
    "\n",
    "- Только в Центральном округе выпускники <img src=\"./data/img/nerd.png\" width=\"20\"/> <font color=\"#ff0d57\">математических и естестеннонаучных</font> специальностей получают больше остальных\n",
    "\n",
    "- Только в Центральном округе выпускники <img src=\"./data/img/social.png\" width=\"20\"/> <font color=\"#FFC000\">общественно-научных</font> специальностей входят в топ-3 по уровню зарплат\n",
    "\n",
    "- Только в Северо-Кавказском округах выпускники <img src=\"./data/img/rural.png\" width=\"20\"/> <font color=\"#7C52FF\">сельскозозяйственных</font> специальностей входят в топ-3"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "### Магистры"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3000x2400 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_salaries_by_fd(fed_dist_master_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 20px;\">cреди выпускников магистратуры</span>\n",
    "\n",
    "- Наиболее заметный рост зарплаты по отношению к выпускникам бакалавриата или специалитета наблюдается в Центральном и Северо-Западном федеральном округе\n",
    "\n",
    "- Сопоставимый прирост в других ФО наблюдается только у выпускников <img src=\"./data/img/doctor.png\" width=\"20\"/> <font color=\"#13B755\"> медицинских </font> специальностей, особенно он заметен в Сибирском и Дальневосточном округах\n",
    "\n",
    "- Магистры <img src=\"./data/img/doctor.png\" width=\"20\"/> <font color=\"#13B755\"> медицинских </font> специальностей не входят в топ-3 по уровню зарплат в Южном и Северо-Кавказском округах, _возможно связано с пропусками в данных_\n",
    "\n",
    "- Наименьший прирост зарплаты у магистров по сравнению с бакалаврами/специалистами наблюдается в Приволжском и Северо-Кавказском округах"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Пропуски в данных"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "<font size=\"4\">В Южном и Северо-Кавказском округах отсутствует информация о зарплате магистров медицинских наук: </font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame(fed_dist_bachelor_df.query(\n",
    "    'object_name == \"Южный федеральный округ\"'\n",
    "    '& study_area == \"Здравоохранение и медицинские науки\"'\n",
    "    )['average_salary'])\n",
    "\n",
    "df2 = pd.DataFrame(fed_dist_master_df.query(\n",
    "    'object_name == \"Южный федеральный округ\"'\n",
    "    '& study_area == \"Здравоохранение и медицинские науки\"'\n",
    "    )['average_salary'])\n",
    "\n",
    "df3 = pd.DataFrame(fed_dist_bachelor_df.query(\n",
    "    'object_name == \"Северо-Кавказский федеральный округ\"'\n",
    "    '& study_area == \"Здравоохранение и медицинские науки\"'\n",
    "    )['average_salary'])\n",
    "\n",
    "df4 = pd.DataFrame(fed_dist_master_df.query(\n",
    "    'object_name == \"Северо-Кавказский федеральный округ\"'\n",
    "    '& study_area == \"Здравоохранение и медицинские науки\"'\n",
    "    )['average_salary'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>average_salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3122</th>\n",
       "      <td>72838.30634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3130</th>\n",
       "      <td>70779.21762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3138</th>\n",
       "      <td>57534.04568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3146</th>\n",
       "      <td>48477.49281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3154</th>\n",
       "      <td>41583.38503</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      average_salary\n",
       "3122     72838.30634\n",
       "3130     70779.21762\n",
       "3138     57534.04568\n",
       "3146     48477.49281\n",
       "3154     41583.38503"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>average_salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3169</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3177</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3185</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      average_salary\n",
       "3169             NaN\n",
       "3177             NaN\n",
       "3185             NaN"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| label: tbl-ref\n",
    "#| tbl-cap: \"Южный федеральный округ\"\n",
    "#| tbl-subcap:\n",
    "#|  - \"Бакалавры/специалисты\"\n",
    "#|  - \"Магистры\"\n",
    "#| layout-ncol: 2\n",
    "#| echo: fenced\n",
    "\n",
    "display(df1)\n",
    "display(df2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>average_salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3265</th>\n",
       "      <td>68271.08231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3273</th>\n",
       "      <td>64426.35973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3281</th>\n",
       "      <td>59316.38948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3289</th>\n",
       "      <td>50192.02503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3297</th>\n",
       "      <td>43859.00063</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      average_salary\n",
       "3265     68271.08231\n",
       "3273     64426.35973\n",
       "3281     59316.38948\n",
       "3289     50192.02503\n",
       "3297     43859.00063"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>average_salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [average_salary]\n",
       "Index: []"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| label: tbl-ref-2\n",
    "#| tbl-cap: \"Северо-Кавказский федеральный округ\"\n",
    "#| tbl-subcap:\n",
    "#|  - \"Бакалавры/специалисты\"\n",
    "#|  - \"Магистры (нет записей)\"\n",
    "#| layout-ncol: 2\n",
    "#| echo: fenced\n",
    "\n",
    "display(df3)\n",
    "display(df4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "raw"
    }
   },
   "source": [
    "## Средние зарплаты выпускников\n",
    "\n",
    "<font size=\"5\">по стране в целом для выпускников <font color=\"#00AEEF\">бакалавриата/специалитета</font> и <font color=\"#ff0d57\">магистратуры</font>: </font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 6))\n",
    "\n",
    "def salary_by_area_stat(df):\n",
    "\n",
    "    stat_df = pd.DataFrame(\n",
    "        df.groupby('study_area')['average_salary']\n",
    "        .median()\n",
    "        )\n",
    "\n",
    "    return stat_df\n",
    "\n",
    "def bachelor_vs_master(bachelor_df, master_df, ax):\n",
    "\n",
    "    bachelor_stat_df = salary_by_area_stat(bachelor_df)\n",
    "    master_stat_df = salary_by_area_stat(master_df)\n",
    "\n",
    "    total_stat_df = bachelor_stat_df.merge(\n",
    "        master_stat_df, on='study_area', how='left',\n",
    "        suffixes=['_bachelor', '_master']\n",
    "        ).sort_values(by='average_salary_master', ascending=False)\n",
    "    \n",
    "    total_stat_df.index = (\n",
    "        total_stat_df.index\n",
    "        .str.replace('Здравоохранение и м', 'М')\n",
    "        .str.replace(', технологии', '')\n",
    "        .str.replace('Сельское хозяйство и с', 'C')\n",
    "    )\n",
    "\n",
    "    sns.scatterplot(\n",
    "        total_stat_df, x='average_salary_bachelor', y='study_area', s=70,\n",
    "        ax=ax, zorder=5, color=\"#00AEEF\", label='Бакалавры и\\nспециалисты', lw=2\n",
    "        )\n",
    "    \n",
    "    sns.scatterplot(\n",
    "        total_stat_df, x='average_salary_master', y='study_area', s=70,\n",
    "        ax=ax, zorder=5, color='#ff0d57', label='Магистры', lw=2,\n",
    "        marker='s'\n",
    "        )\n",
    "    \n",
    "    for area, row in total_stat_df.iterrows():\n",
    "        ax.plot(\n",
    "            (row.average_salary_bachelor, row.average_salary_master),\n",
    "            (area, area), color='lightgray', lw=3\n",
    "            )\n",
    "\n",
    "    ax.xaxis.set_major_formatter(plt.FuncFormatter(format_yticks))\n",
    "    ax.set_xlim(3e4, 1.5e5)\n",
    "    ax.grid()\n",
    "    ax.legend(loc='lower right')\n",
    "    # plt.show()\n",
    "\n",
    "    ax.set_xlabel('Средняя зарплата (рубли)')\n",
    "    ax.set_ylabel('')\n",
    "\n",
    "    return (bachelor_stat_df, master_stat_df, total_stat_df), ax\n",
    "\n",
    "dfs, ax = bachelor_vs_master(fed_dist_bachelor_df, fed_dist_master_df, ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=\"5\">в отдельных округах для выпускников <font color=\"#00AEEF\">бакалавриата/специалитета</font> и <font color=\"#ff0d57\">магистратуры</font>: </font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LotL3OrA4KkFHY4y/m93OmZn/AQAAAAAAkPXRUAnAp507d87htvz589/FTFw3Y8YM7dmzxxAvWrSo5syZY9rQ4Yifn5++/vpr1a1b17Bt2rRpOnnypEe5+pJPP/3UdEa0qVOnms4g50iRIkX06aefGuKXLl3SggULPMrxTps3b1azZs1M66FQoUJauXKl6WvDkenTp5s2ZpYoUULz5s1Tjhw5nB7L399fv/76q2rXrm3Ydv36dYezf90uJCREP/74o2mTxfXr19WnTx9D02NqzTAjR45UtWrV0jzu6tWrtW3bNkM8V65cWrRokQoUKJDmGLcbM2aM2rVrZ4jb7XaNHTs21X1/++03Q6xatWoOZ7g1ExQUpFdffdV0W2qNYkuXLjWNDx8+3KnGWqvZsmWLxowZY4i7uyxrZrxmWE29evX0n//8x3Tbvn37Ut3Xbrc7nG323XffVffu3V3KpWrVqqaz5yUmJjo1qy6yhq+//lpRUVGGePXq1TVt2jTTBmBHgoKCNGXKFNMv+owdO9bnZnYya3bMnz+/hg0b5vJYzZs3V/Xq1Q1xZ973PvHEE4aYo+bI1DhqwuzWrZuyZUt9WVp3jB8/3vR9j3TzC1nLli1zOHNnevnyyy+1ZcuWFLGgoKC72tR06tQpRUZGpvvtypUrd+3/BGQ2q84nyrV5zV1nl7T6PA2VAAAAAAAASFvq0xEBQBYXGxvrcNvtS2Rb0UcffWQaHz9+vFt/CM2WLZu++OILNWzYMEU8MTFRkyZN0tChQ93K05f8+++/pss9Pvzww6azS6Wle/fueuONN3T8+PEU8aVLl6pz585u53m7tWvXqk2bNqZ/4C1RooSWLFmi8uXLuzTmV199ZRofPXq0W3UVHBysr7/+WvXr1zc0nn377bcaMmRIimU9zTRp0kQvvfSSvvzyS8O2jRs36pNPPtF///vf5Ngbb7xhuvxvgwYN9PrrrzuVt6Pz8PbbbzucMTM1NptNX331lZYsWWK4dk2dOlUff/yxaVNffHy8NmzYYIi7MpPXLfXq1TONpzYDolmzpc1mU69evVw6thUkJCSoX79+htnRmjVrpuLFi+unn35yabzMeM2wqvbt2+vjjz82xM+cOZPqfn/88Yf27t1riIeHh7u9THfHjh3VokULLV68OEV86tSp+vzzz52a7RKZV3x8vGnzrJ+fn6ZMmeLW858nTx69//77hqWmL168qNmzZ5s292VVhw4dMsQeffRRt+uqQYMG2rFjR4qYM02qPXv21LvvvmuIz5o1S3369HH6+I6WCU+P5b7HjBmjl19+2bSJv3nz5vr999+VM2dOrx83NceOHTP9csfQoUP1ww8/eG026LS48sUhTwwfPlwjRoxIvp+UlGQ646oj/v7+hvdurszsabPZDO+Z7Xa7aYOtI35+fvLzS/nd7MTERNPXlSN3zozujRxuP74z58RsdnZPz6UVnk9v5JBez2daM+JvvXh3ZqndeilBvUo4XmkgMDBQNpvNpXMA32CF+rRCDla45lshh6z6fKaWU1Z+H+FpDpI1nk8r5JAVnk8rXSM8qU8rvKayyvPJNcJ7OWSF5/NWDs7WaFZ+H8E1wjs5SFnj+bTSNcKT+rTCayqrPJ/euEZYYUUjGioB+LS4uDiH26zc8LBv3z5t377dEK9Xr57atGnj9rgNGjRQvXr1DM1Xc+bMoaHSCePHjzd9o+TKLIC3s9ls6ty5s6ExY/fu3W6Nd6fly5erXbt2iomJMWwrX768lixZohIlSrg05t69e7V582ZDvE6dOurSpYvbuYaHh6tjx46aPXt2iviJEye0dOlStWzZMs0xPvjgAy1YsMC0wW/48OF65JFHVKVKFa1fv17jxo0zPCZnzpyaPHmy4c2tmcuXL5vOClm4cGGHM+k5o2TJkhowYIA+++yzFPFr165pxowZevbZZw37/PPPP6ZvOps0aeLy8R1dM1ObEffq1auGWP78+S0/C7CZ0aNHG669wcHB+u6770wba9KS2a4ZVubo9ZTWDG/Tpk0zjY8YMcKjJegHDx5saKiMjo7W8uXL020ZX1jDkiVLTGen7Nq1q6pUqeL2uI899piGDBmiiIiIFPE5c+b4VEPlpUuXDLFatWq5PZ7ZFz2c+dDs3nvvVe3atbV169YU8cWLFys6Olq5cuVKc4ykpCT9/vvvhnj58uUVHh6e5v6u+Pjjjx02ibdv314zZsxwaeZUb3nuuecM70MrVaqk//73v/rhhx/uej5329mzZ02bhB2pXr26QkJCUsR27dqV6hdbbhcaGmqYHfzKlSsuvU+oWLGi8uXLlyJ28OBBp5e7DwoKUp06dVLE4uLiDLWUmtKlSxuWpb9+/bpu3Lgh6ebs+2m9X7/zS4TSzS9ZOatw4cIqU6ZMitjp06d19OhRp8eoXbu24TOH7du3p/oZxe3y5s2r++67L0Xs4sWL2r9/v9M5VKlSRblz504R27t3r9OzqebIkUM1a9ZMEYuJiTE0qvv7+zv8YtYtB646/0G9Jw5Ep30cGiphZufOnal+Kft2XCNucvYakZpy5cqpYMGCKWKHDx/W2bNnndrf7PqTmJjo0jW/ePHihs/GIiIiTL+E60h4eLjhj61btmxx+o+t+fPnV4UKFVLEvPE+Ys+ePSmez9R+hmbl9xHHjh3TqVOnnB6D9xE3cY24Kb2uEdu2bXO6PtPrGsHvGjdxjbiJa8RNt64RSUlJio6OTo47qtGs/D6Ca8RNXCNustI1wtn6zMrvI7LKNcJsFci7jSW/Afi01GZJCAx0PGtBRps5c6Zp/Omnn/Z4bLMlhbds2ZLizQfMmS3zWLx4cdWvX9/tMcPDw+Xv75/i9s8//3iSpiTpr7/+Utu2bU2bKatUqaJVq1a53EwpSQsXLjSNe2M2QkezNd3ZtORI9uzZNWnSJNM3zjdu3FDv3r0VExOjZ555xvSbN5988onKli3r1LGWLVtm2sTYvXt3j5fwdPU8lC5dWv/880+K26FDh9yaJXPNmjWmcbMlU2+58020pDRnFLWiw4cPa+TIkYb422+/rXLlyrk1Zma6Zlidow8t7r33Xof7XL9+XfPmzTPEixYtqlatWnmUT7NmzUxnelu2bJlH48L6HL1He+aZZzwaNyAgwLQZd/ny5R6Nm9msXbtWR48eTXHz5D3GxYsX3d73zhlDpZsfxJpdV8ysW7dOp0+fNsR79uzpdk5mRo4c6bCZslu3bpo1a1aGNFNOmzZNf/31V4qYzWbT+PHjLf17GADXOfOFtOuJd6eB8boTfZuefKkGAAAAAAAAWQMNlQB8Wvbs2R1uc/ab5xlh9erVpnFPG0Ak81nrkpKSXPrmly86e/as9uzZY4i3b9/eoz/IPP7440pISEhxc+XbTmbmzJmjDh06mL7G69Spo5UrV6pQoUJujW22tLR0c2YuT7Vp00Y5cuRw+phm6tevr1dffdV0299//63777/fdPnfhx9+WAMGDHD6OI5yeuyxx5wew5EaNWqYNnY6Omb27NlVrly5FDdnG0Nvd+rUKdMllUuVKmX4Zt/tzI515swZj5pYMkL//v0NNVOtWjW99tprbo2Xma4ZmcGMGTMMsTx58qQ6E+vff/9t2lTujZ+l2bJlM22MtcI36pC+zN6j5ciRQ40bN/Z4bLPX89mzZw2zVmZlxYoVU6lSpVLczN4bOMNut2vFihVu59KtWzfTJiFHy3jf6c5Zt2/xZkPlG2+8kWKJ6ds988wzmjp1aprL8KaH8+fP6+WXXzbEn3vuOdNv6gPI3JxZJirY/+40MQY78Uk4s1MCAAAAAACAJb8B+LTUGiovX77s9h9o05vZct+hoaEqVqyYx2OXLFnSNH7w4EE1atTI7XEzepaHKVOmmC6reDubzabcuXMrX758KlmypJo0aaIWLVoYpro28/fff5vG75xyPKPNmDFDPXr0MJ09sXHjxvrzzz8VGhrq9vi7du0yxIoVK+Z2g+btAgMDVbVqVcN06Tt37nRpnHfeeUfz5s0zbWYza6a85557XF520uw8BAQEqEaNGi6N40idOnV0+PDhFLGIiAhdvHgx1eW33bVjxw49/vjjOnnypGHb8OHDU51xslmzZoYlypOSkjRx4kSHza1WM2nSJC1dujRFzM/PT99//73bjSiZ5ZqRGfzyyy/67rvvDPHhw4en+nPe7GepJFWuXNkreZn9PD148KBXxvZ1q1atUlhYWJqP8/PzU548eZQvXz6VL19eTZo0UcuWLVW8ePF0yevq1auGa7N0c/kQb8wAmNp7NG+8B/QlN27c0ODBg01/7jurcOHCatasmZYsWZIivmDBAsXGxqZ6/ZHMGyobNmxoWLbHXS+//LK+/PJLh9s+//xzrxzHHYMHDzYsn1OkSBF9+OGHGZRRxsifP79huarUmL3funM5nNSY/T4WGhrq0hLzZk3EFSpU8KgBLSgoyOMcgoODk5erqlOnjlvvz1zJwexcFipUSAUKFHB6DLPn05XfFcxyuOeee1z6f5jlUKlSJY+ez5w5c7qUwy33hvhpUZTbh3X+OLnS7qikoRJmqlWr5vRjuUb8P/buOzyK6v37+Cc9QAi9d5DeQaoUQ5PeQZqCAgoCKpYvCCooiqiIShEEEQVFQAHpHQSU3ov0EiCA9JZe9vmDHzyEmU22JVmS9+u69rrgzMyZk905Z2Z37rmPdfaOEWZjfrFixZy6XvLy8nK6Dfnz5zdM95jYPh+X0IOpjzP7PF1xHVG2bNl40/AldA5NzdcRhQoVcmiWnkdxHXEfY8R9rhgjKleurF27dj38v739k+8a9zFG/H+MEfe5aoyIiYmxqY+m5usIxoj7GCPuc6cxwpn+mVquI1LLGOEO90sJqASQpuXIkcPqstu3bytPnjzJ2BrbXLt2zXADUpJdF0sJsXaCDAkJsbmO6OhoQ5kt03wlpcjISEVGRia63rVr13Tq1Cnt2LFDv//+u6T72cref//9BDPmWJtSt1y5co41OAnMmjVLL730kmJjYw3LnnvuOS1cuDDRm/+JCQ4ONpS5KohQuv9j0uMBlXfu3NGtW7eUOXNmm+rw8/PTzz//rJo1a5oGlj5u0qRJdl28SubvQ6lSpVw2pWblypU1d+5c0/26IqAyMjJSISEh2rlzp/744w8tWLDANLPMiy++qF69eiVYV5MmTVSkSBGdOXMmXvkHH3ygsmXLmk5h606uXLmit99+21A+cOBAVa9e3eF6n4Qxw12Fh4fr4sWL2rFjh37++WetWrXKsM4LL7xgmv3sUdYCqZLyfHrp0iXFxcXZdU5s2bKlw4G7rsy2HRsba1MQozV37txxWVuio6N1/fp1m9a9evWqTpw4oW3btmnWrFny8vJSx44d9f7777u8vx09etR0rHSnazRXcafjwRqLxaLLly8rODhYZ8+eVXBwsIKDg3XmzBlt2bLFJW3o3r27IaAyNDRUq1atUtu2ba1ut3v3btNrhRdeeMHpNlksFvXv39800Fy6f/79+OOPnd6Po9auXauff/7ZUD5x4kSnHupxxs6dO5Ple1/GjBnj/d/T09Pp70jOZhj18PBwuo6EHqxJrjY8+sOrt7e3Q/U52wZ3+Dxd0YaU+jyrZvGWFOXUvm3aT+aE2xYVFUVAJUy5Q/90hza4w5jvDm1ITZ+nM+fQ1PJ5OtsGyT0+T3doQ2r4PN1pjHCmf7rDMZVaPk/GCNe1ITV8no+2wdE+mlo+T8YI17RBSh2fp7uNEY72T3c4plLL5+kOY4QrpHwLACAFZc2aVenTp4/3NO4D7jod7Y0bN0zLT548maRZIO15P8yC1NzhpOeolStXavXq1Ro2bJhGjhxpekFlbbpNZ59McpVp06apX79+poEeJUqU0OLFi+Xr6+vUPu7cuWPal/Lly+dUvY+yFth4+fJlmwMqJalq1aoaNmxYogEFnTt3VteuXe1poiSZTrGcXO+Do5566inTzGpmvLy89O677+rTTz9NdF0fHx9NmjRJLVq0iHdzMiIiQs2bN1fnzp3Vs2dP1a1b1xBo4A7efPNNw7hboEABm/72hLj7mJFSXDEt8iuvvKKJEycmup6182mPHj1cOuXuo2JiYnTv3j27goZu376dJG1xhK1BjO4sNjZWc+fO1Z9//qmxY8dq4MCBLqvb2jG1du1at7lGcyV3OR5iY2O1bds27dq1S4cOHdLZs2d19uxZnT9/3qaHaZzRoUMHvfbaa4bg5fnz5ycYUGk2Lbivr686d+7sVHvi4uL08ssvmwYsSlLPnj1TNJgyPDxc/fr1M5S3a9dO7dq1S4EW3ZcnTx6XXqcBsF+9bF7ykJSUoYwekupmS/jmiCsfRgEAAAAAAMCT68mNbgEAF8mfP7/pFJyHDx9WrVq1UqBFCUupwAp7biyktoBK6f4N6k8++UTXrl3T5MmTDcutZTlyhwCxiRMn6osvvrCaaeP48eOaMWOGXn31Vaf2ExoaalqeKVMmp+q1pS5r+07I+++/r8WLF1ud9jdPnjymn7UtzNrjru+DvbJmzaqlS5faNT42a9ZM33//vV577TXD+DBv3jzNmzdPkpQuXTqlT58+0frMAoOTwsqVK/Xbb78Zyr/77jsFBAQ4Vbc7jxlPslKlSmnw4MHy8fFJdN2UPJ+mVBY2/H+RkZEaNGiQ7t27p6FDh7qkzifhGi01uXTpkr788kvNmjVL165dS5E2ZMyYUa1atXp4HntgyZIlio6OtjoWmU333aJFC6eyTMfExKh79+6aM2eO1XX++OMPvf7666pSpYrD+3HGRx99ZHh4IzAw0KYgeMCax6dTckV2CCS/Ihm81Cint9ZcSXwGAUc1zumtIhkIqASABziHAu6L/gm4N/oo4L7on3ClJzu6BQBcoGzZsqYBlXv27Em2NqxevVo//vijobx9+/aGTDURERHJ1ax4bJka+YF79+4ZyjJkyODK5qSYKVOmqHLlynrllVfilZtlQPLw8HCLv/vzzz9PdJ2BAweqWLFiatSokcP7MZvqXZJNAXK2slZXVJT908P5+PgkOA1r5syZHf78zN4Ld30f7HXjxg01aNBAXbp00ciRI1WoUCGbtuvbt68qVaqkN998U1u2bDFdJzw83G1uYoaGhqp///6G8s6dO6tly5ZO1+/OY8aT7OjRoypbtqz69eunsWPHKl26dFbXfRLOp0h6w4YNU8WKFdWsWTOn6+KYSj5TpkzR4MGDnXrPg4KCFBkZafWcZKvu3bsbAipv376tdevWqWnTpob1Dx8+rGPHjhnKnZ3u+8GU5gkJDQ1Vq1attGPHjmTPyLh//3599dVXhvIxY8ZYzbwN2MJdpgCC8wYV9UvSgMqBRf0SXScuLs6l39uQMFseggKQdDiHAu6L/gm4N/oo4L7on3AljiQAaV7VqlW1cOFCQ3lyBlTOmTNHc+fONZSbBe34+SV+EyApWMtu+Ljw8HDToK6UzrrWu3dv/fDDD1aXR0dH686dOzp16pS2bdumX3/9VTt27DBd98MPP1T37t3jBT6ZfS4Wi0WxsbFPxIVbTEyMOnXqpK1bt6pUqVIO1WFtynCzAFtHWavLkX4xdepUrV692uryI0eOaPjw4Ro7dqzddfv6+hoC5tz1fXBERESEfvrpJy1YsEC///67mjRpYtN21apV05AhQzR48GCdPn06iVvpnA8++EBnz56NV5Y5c2Z9++23Lqn/SR8z3FlcXJy+++47bdu2TWvWrFHWrFlN13P38ymsa9iwodauXZvgOlFRUbp9+7aOHz+uv//+WzNnztS///5rWM9isejdd9/Vc889J09PT6faxTGVPN544w2NHz/e5vU9PT1VoEABFS9eXKVLl1atWrVUr1495cuXT7169XI6oLJZs2bKmjWrYcr3+fPnmwZUmmWnzJo1q1q0aOFUO2x18eJFtW7dWps3b062oKHY2Fj16dPHEPxbu3Zt0ynAAaRNrfL4qHkuby3/z/VBlS1ze6tVnsSD9wjwBgAAAAAAgERAJQCoWrVqpuV79+7VrVu3lDlz5iRvw8aNG03LK1asaCizNs2st7e3S6cUfpytAZHWprtMyra5go+Pj7Jly6Zs2bKpevXqev311/Xzzz/r1VdfNQTG/ffff5o1a1a8G8DW3p+7d+86NX2jq3Xr1k3169c3nd771q1batmypbZt26bs2bPbXbe1Y9Pa1MaOsFaXvVn9zp49q7fffjvR9b7++mu1adNGdevWtav+gIAAw3Hjju/Dozw9PZUxY8aHgbFRUVEKCwtTbGxsgu1o3769tm7dqvLlyydY/9WrV9WxY0dt2rTJ4TYml127dpkG63z55ZfKnTu3S/bxpIwZyW3z5s2qU6dOgutEREQoLCxM586d06FDh7R06VLNnz/fEKizZ88etW/fXhs2bJCHh4ehHmtjVmBgYJJmy7F3iglb3hNrPvnkE33wwQcObfs4Ly8vpzIhNmrUSOvWrXNJW2zh6+urHDlyKEeOHHrmmWf07rvvaty4cRoyZIji4uLirXv48GEtX77c6eyz1o4pPz8/q8tcISUyaaXU8TBu3LgEgynz58+vBg0aqGrVqipdurSKFCmiggULWn3owxV8fHzUqVMnff/99/HKFy1apClTphj6/Pz58w11dO7c2aVt9PLy0tixY3Xw4EHTLPh79uxR9+7dNX/+fKcDiW0xfvx47dq1K16Zr6+vpk2bZjo+A0i7plVOr7Lr7upWtOseFsjs46HvK5F1EgAAAAAAALYjoBJAmlevXj2lT59eYWFh8cqjoqI0b948w9TOrnbw4EHTTG3+/v6mmQLz5MljWk/lypWtZlRMTpcuXTItd1UQUnLq2bOnYmNj1bt3b8Oy5cuX2xRQeefOHbcIjvLw8NBHH330MLDm3Llz+vTTTw3rnTp1Su3atdO6devsvrEfEBCggIAAQ/bECxcuON7wx1iry57jy2Kx6KWXXrIpY2RcXJx69eql/fv32xUMkzt3bl2/fj1embu9D487cuSIIejDYrHowoUL2rt3r/744w/Nnj3bEGAZGhqqQYMG6a+//kqw/m7duj0RwZQxMTHq27ev4e+sV6+e6VjgKHcfM9yZv7+//P39lTVrVlWqVEk9evTQsWPH1KZNG8M0uhs3btQvv/xiOpWutfPpb7/9pubNmydJ25FyPD099c477ygsLEwjRowwLHdFQKW1Y6p169aGKaFhv3Pnzun99983XVa/fn2NHDlS9evXT5EAve7duxsCKq9evarNmzfr2WeffVh26tQp7d+/37C9s9N9PypjxoyaM2eOmjdvrujoaJ05c0YbNmwwrPfnn39q6NCh+uKLL1y2bzPBwcGmgd1DhgxRmTJlknTfAJ48edN5an6N9Gq+JVSRcYmvnxg/T2l+jfTKmy7pg8cBAAAAAACQevBrEoA0z9/fX40aNTJdNmvWrCTf/++//25a3qxZM9MMWVmyZFFgYKCh/PHgrZRiFujl7e3tUMZDd/Dyyy+rSJEihvJ//vkn3v8LFy5suv3JkyeToll2SZcunebOnRvvZvaoUaP0/PPPm67/999/q2/fvg7tq1ChQoayffv2OVSXGbO6MmfObFcG1AkTJpgG/5n1K0k6ffq0TdksH2V2PBw7dkwRERF21WONtffU7P23lVnWPA8PDxUoUECtW7fWzJkztWnTJtP3aePGjTp8+LDVuvfu3Wt1et5WrVpp/fr1un79uiwWi02vM2fOOPx3Juarr74yvL9+fn6aOnWqS4N03HnMeBKVLFlSS5cuNQ0Enz59uuk21vqLu5xPkTT+97//mQY0P35edwTHVNIaM2aMwsPDDeXDhw/Xhg0b9Oyzz6ZYtsM6deqYfv6PZ6M0m+67WLFiql27tkvaUahQIW3ZsuVhULiPj4/mz5+vkiVLmq7/5ZdfmmawdKV+/fopNDQ0XlnJkiU1fPjwJN0v0o6YmBht27bt4cuZ7LlwDw1y+Gh57QzK7OPcmJ7Zx0PLa2dQgxxJl3kcCaN/Au6NPgq4L/o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21JIlSxxuppTMX5MqVao43Kx6U2a+Jp6Wld8vGcmfP78hFhjo/I2Mbdq0UfXq1Z1at2/fvqY31R85ckT79u1zuiaYmzRpkuF6ckhIiKZNm+adgmCKhkoAAIAMvP7666Z3wY0YMUJ16tRx+/b+/PNP1atXT1u3bnU6R1RUlNq1a6dvvvnGfYXZ4cSJE2rcuLH2799vWObv76+ZM2emaU718/NTnz59THPNnz/f6TqsVqsWLFhgusye5pRPP/1U7dq105kzZ5yuYfv27apXr57DTTZZef/7gn/++Ue9evVShw4dFB8f7/D6sbGxevDBB/Xqq68qMdG1poE1a9aobt262rRpk0t5fMHTTz9tOspoVvbuu+/qqaeeMl1Wr149rV27VgUKFEiN9ejRQ0FBQYbnrlixwqGm69stWLDAdJrnzp07KywszOm8cD9f/cy61erVq9W7d2+nmyJnzZql5s2b6/Llyw6v+/XXX6tHjx46d+6cU9u+VVJSkp555hmPjQIOZAcn41PUfUucrhk/YpxyLUXqtjlOp+LdlBAAAABAlnfq1Cm1bdtWTz75pN0NaZMmTdLRo0fTPD799FOna4iOjnZ6XUe8+uqrev75502X9e7dW/Pnz3e6AfLpp582vCaLFi1yutbMek0yw5w5cwyvzYsvvuh0Pl96bU6fPm2IVahQwel89tycb4u/v786dOhgusxs2nU47/Dhw6azIL3yyivM2ONjaKgEAABIx759+/T+++8b4kWLFtUbb7zh9u399ddfatu2rS5evJju8wICAjJstLFarRo4cKBWrlzpzhJtOnr0qBo1amQ6KmNQUJDmzp2rRx55xLDMVrOIK80pGzduNP1jtF69eipXrly663711VcaPny4aYPTrUJCQhQSEpLuc6Kjo9W6dWvTWsxk5f3va5YsWaIOHTpkuB9vlZiYqI4dO2rFihUZPjcgIEChoaEZPi8qKkqtW7fWzp077a7D16xcuVLffvutt8twqwkTJuiFF14wXda0aVOtXr1ad911V5r4XXfdpXbt2hmen5CQoKVLlzpdi62RCc3Ol/A+X/vMulV0dLT69u1rc7r1kJAQu+5y37x5szp27OhQU/mmTZs0aNCgDEc09ff3V0REhHLkyGFX3ilTpmTLmwMAdxiy0/lpvm25lGjVkL+cH8UWAAAAwJ3p448/tnt2m3z58qlkyZJpHrZGDbTHr7/+6vS69ho7dqwmTJhgumzgwIH67rvvFBAQ4HT+3LlzG16TW2/0dlRmvCaZpVChQobXJleuXE7n85XX5uTJk6azFnXu3NnpnGbXrh3x4IMPmsaz8ncbvmjo0KGGwUCqV6+eOrMffAcNlQAAADZYrVYNHTrUtKHg448/Vnh4uFu3FxcXp169eunKlSumy1u1aqXvv/9eJ0+e1LVr13T16lUlJCRow4YNeuaZZ0ynkkhJSdEjjzxiOi2COx08eFCNGzfWsWPHDMty5MihRYsW2bw7rkaNGqpSpYoh/vfff+uff/5xqh5bjS0ZNSjt27dPTzzxhOmykJAQPfroo1qzZo3OnTun+Ph4xcfH69KlS1q6dKm6desmi8ViWC8qKkr9+/fPsOasvP/dLSIiQnnz5k33kTt37gzzrFmzRp999pnd23311VdtXlDx8/NTx44dNW/ePJ06dUrXrl1TbGysoqOjtXHjRo0cOdLmhb8rV66oT58+To2Y6W1xcXEaNmyYt8twqxdeeMH0DlDpxkWnZcuW2WxYdve039HR0Vq7dq0hXqhQIT3wwANO5YRn+dJn1u3efPNNnT17NvVnPz8/de3aVUuXLlVUVJTi4+OVkJCg06dP66efflKHDh1MP7ck6Y8//tDLL79s13YTExM1aNAg0wZ2i8WiLl26aN68eTp+/LiSkpJ06dIlxcXFKSEhQbt379bHH3+c7lRNzzzzjM3PRgDmFp9O1NKz5s3VrvrlTJIWn8644frUqVM6cuRIho/jx497pE4AAAAA/1+/fv1ktVrtftz8+/3YsWNauXKl3nvvPTVs2NDmdQRJ+uijjzR9+vRM/K2k//3vf/ryyy89uo2nnnpK77zzjumy4cOHa8aMGfLz8522m+XLl+utt97y6DbSex/4qpSUFL377rsOT1HvCdHR0erVq5euX7+eJl6sWDENHz7cqZx58+ZVkSJFXKrL1nThkZGRDuU5evSo8uXLl+Ejf/78Klu2rOrVq6devXpp6tSp+vfff136HXzdN998ozVr1qSJ+fn5acaMGS41ZcMzfOfMDgAA4GOmT59uOpR9+/btXRo635bnnnvO9I+FfPnyaeHChVqxYoX69OmjIkWKpP6BHhwcrPr162vSpEnatWuXaZNHVFSU3n77bbfXe9P+/fvVuHFjnThxwrAsPDxcy5cvV+vWrdPNYatJydkRv8ymTg0MDFSvXr1srpOYmKhHHnlE165dMyyrUaOGduzYoZkzZ6p58+bKly9f6rKIiAi1bdtW8+bN07Jly0wb/VauXKlly5alW3Nm7v+SJUs6dAGtTJkyhrxNmjRxKIcjlixZovPnz6f7iI6OVlxcnPbs2aMXX3zR5mhn77zzjl3b37x5s80LYyVLltTatWu1cOFCdevWTYULF07dB7lz59Z9992njz/+WP/884/Nc8OBAwdsTgnjy1555RUdPXrU22W4zZNPPql3333XdFmPHj30888/pzvybPv27U3vgP7ll1+UkJDgcD2LFi0yHU2wT58+8vf3dzjfTY4en1arVa+//rrT28tsjvxeLVq0MKxfokQJh3KULFkyzfq+8Jll5vDhw6n/zp8/v5YvX6758+erbdu2yp8/v6QbF+gKFSqkLl26aNGiRVq+fLkKFixomm/SpEnavXt3htudM2eO9u3bZ4hHRERozZo1+umnn9StWzcVK1YszfLg4GBVq1ZNI0eO1LZt2zR16lTT9310dLR+/vnnDOtA9uTv76969eqlPlw5d95JPjli/P+sO02xI7+fn5/i4uIyfDjz+YmsgeMT8G0co4Bvy5kzZ+oD8IabM0yUKFFCDzzwgMaMGaN169Zp69atuvfee22uN27cOMXExLi1lujoaO3cuVM///yzJk+erGeeeUZdu3ZVsWLF1K9fP4dm2HCE1WrVsGHDNHnyZNPlL7/8sj755BOPbDsjV69e1Z49e7RkyRJNnTpVzz33nHr27Kly5cqpbdu2br0x1ez19aUG0tudO3dO27Zt07x58zRp0iSNGjVKHTt2VMGCBW3OWORpycnJunjxov7880+98sorKl++vOG7x7CwMC1evNjpgVwqVqzocp3FihUzvfZ95swZh/KkpKTowoULGT7Onz+vw4cPa8uWLZo7d65GjBihChUqqG3bti5NMx4aGuqTn6FRUVEaPXq0IT5ixIh0z6vwHlpcAQAATJw9e9b0j6ucOXNqypQpbt/e1q1b9emnnxriERER+u2330wb5W5XpkwZrVy5UnXq1DFMHTp9+nSNHz/erimKHfHXX3/pgQce0Pnz5w3L8uTJo+XLl6tu3boZ5nnooYf00ksvGRrf5s+fr5deesmhmnbs2GHaANa2bds0jZC3mzx5sunUBTVr1tS6desynGJbklq3bq158+apdevWhmlPP/zwQ7Vt29Z0vay6/70tR44cqlq1qt5880116NBBTZs2NTTEnjhxQtu3b1edOnXSzfX444+bTlVbtmxZbdiwwa4pVvLnz6/58+dr5MiRpueJKVOmaNCgQTbv9PQ1O3bs0EcffeTtMtzi5gVQW3fJP/bYY5oxY0aGXyKGhISoW7du+vrrr9PEY2JitHLlSnXs2NGhutw1MiEyly98ZqUnLCxMv/76q6pWrZrhc1u1aqXff/9d9erV0+XLl9MsS05O1iuvvJJhM+PcuXNN4/Pnz1ezZs3sqtliseiJJ57Q6dOn9cYbbxiWb9iwQY8++qhduZC9WCwW7uC/zdHYZK2O8szolDetikrS0dhklcpp+3PT1s0uyD44PgHfxjEK+K6sOPIbso/atWvrt99+U+fOnbVy5UrD8qioKE2ZMsWpxrW///5bGzZs0J49e3T48GFFRkYqMjJSV69edUfpDklJSdGAAQM0c+ZM0+X9+vXLlJuTjx07pj/++EN79uzRwYMHU1+T6Ohoj2/7JrObwX3h/xDbt2/X5s2btXfvXh09elTHjh1TZGRkps8StWbNGpfP20WKFNG8efNUs2ZNl3K4Q+HChQ0NuXFxcW7Jba/ly5dr5cqVevHFFzVhwgSHb/yxWCw++Vn61FNP6eLFi2lixYsX15tvvumlipAR320dBwAA8KInn3zSdJrkCRMmqESJEm7f3sSJE01H0fvuu+/saqa7qUiRIpo4caIhfunSpQxHSHTU1q1b1bx5c9NmykKFCun333+3q5lSujFaWIMGDQzxnTt3mk4jnh5bU++m16CUmJho2jiWO3duLVmyxK5myptatGihAQMGGOKrV6/WuXPnTNfJivvf19x333168sknTZf9/fff6a67bt0602ba8PBwrVy50q5mylt9/PHH6tChgyFutVo90pDtCcnJyRo0aJChydSeqdZ9TXJysvr372+zmXLEiBH68ssv7b4w465pv2NiYrRq1SpDvEqVKqpVq5ZDuZC5vP2ZlZHp06fb1Ux5U4UKFfS///3PdNnixYszHKXW1mjeZqODZuSpp54yPRZPnTrlcC57nT59WidPnvT4g2nLkVn+uJAsx8YGd5xV0roLxhtRbkVDJQAAAHBnypEjh77//nvlyZPHdPm8efPszhUfH6/JkyerfPnyqly5sgYPHqyPP/5Yv/zyi/bu3euVZsqkpCQ9/PDDNpsppRu/444dOzy2/W+++Ua1atVSqVKl1K9fP02cOFELFy7UX3/9lanNlDfruZ23Giqjo6P16quvqnjx4qpTp46GDx+uzz77TMuXL9c///yT6c2U7jJ8+HDVrl3bpRyOfIeVHrMRMj01Cmx6UlJS9MYbb2jEiBGZvm1PWL58uWbPnm2If/rpp27bd3A/77eOAwAA+Jjly5drzpw5hniNGjX01FNPuX17x44dMx2lrHXr1nrwwQcdztenTx+NHTtW//33X5r4mjVr1K1bN6frvNWGDRvUrl070+aAu+++W6tXr1a5cuUcytm3b1+tX7/eEJ8/f77pMPi2mL2WuXPnNm1wu2nOnDk6efKkIf7888+raNGidm/71vVmzJiRJma1WrV27Vr17NkzTTwr7n9f1bFjR7333nuG+NmzZ9Ndz9bULK+88opKlSrlcB0Wi0WffPKJVq9ebbiI89133+m9997z+cbEDz/80NBkGhwcrHfffVdDhw71UlWOS0pKUt++fU3P6ZL0wgsv6O2333YoZ7NmzVSkSBFDg9eiRYuUmJiowMBAu/LYmiac0SmzBm9+ZqWndu3a6tOnj8PrdezYUU2bNtVvv/2WJp6SkqJZs2bplVdeMV0vOjracGe1JKdqkKS8efOqfPnyhkZ4T04JbO/NH64aP368JkyYkPpzSkqKUlJS7F7f39/fcHe92ZcatlgsFkOzqtVqNR2d2RY/Pz/DtF7JycmmN4XYcvuXLr5Qg+T6a5mZ+zOjL662R3t2dMrU7VxK0qN3B9lcHhQUJIvF4tC+8XW29pEnjk/OEb5Tg3Rn7E931HAn7E931HCn7E/OEe6pQboz9qcvniOSkpJS893cltVqTbON22tw9P8drq7vKzmowXdrcEcOR9dP7/n25rKnhjx58mjUqFFp/s69aceOHTp37pzy58+fbo7169froYce0okTJ+yqy0z58uVVs2ZNm7Nn3Mre3//mKJDpiY2NVYcOHbR58+Z0vz9wdH/u27dPvXv31r59++yq1UyxYsXUsmVLffPNN6bLHX1PmU3hHhoa6lCe9EYLtDfPzz//rIEDB7rUUFq7dm0VKFDAdPCJ2z9jMtNLL72kr7/+WtOnT1fTpk3Tfa6t19KRfZLe+9KsuS8oKCjdz19P+vzzz1WjRg3DdxIZvafseS1cOd/aeq7ZtmNjY/X4448bntuzZ0+1b9/e7hpsLfPk56fZv2//f6en/tZwJIen0FAJAABwi7i4OD3xxBOGuJ+fn6ZNm+aRO++mT59uegHYVvNCRiwWi7p166YPP/wwTXzv3r1O5bvd2rVr1aFDB8XGxhqWlStXTqtXr9bdd9/tcN4ePXpo5MiRhrvdHGlO+fvvv/XPP/8Y4t27d1dwcLDN9WxNt21rxMOMlClTRrVq1TI0pO3du9fQUJnV9r8vu/Ui3a3Sa3C7fPmyFixYYIgXLlzY6f0v3RjB7vHHH9cHH3yQJh4XF6e5c+dqyJAhTuf2tKNHj2r8+PGG+Lhx41S+fHkvVOSc69evq1evXjanK37rrbc0duxYh/P6+fmpT58+mjRpUpp4dHS01q5dq1atWtmVx2xkQovFooceesjhmpD5vPmZlZ7nnnvOqfUkaezYsYaGSunGKJW2PpPMRvOWpHvuucfpOsxGuLiTGrJuOnfunA4dOmT382vUqGG4qL1nzx67p13KlSuXqlWrliZ25coVh/5/ULFiReXNmzdN7N9//zVtqjUTHBysOnXqpIldu3ZN27dvt7uGUqVKGaaxioyM1OnTp+3OYTbC7ObNm+1ev3DhwipdunSa2JkzZzIczfVWtWvXVkhISJrYX3/9pWvXrqW7nr+/v+677750n3Mgxv5mCFccuJrxdu60hsrdu3ebjnhSr149w9+J27Zts7vJJ3/+/Ib/Y3GOuIFzxP9nzznipjx58qhSpUppYtHR0ab/77ClatWqioiISBPbv3+/3SMuh4aGGkZdj42N1a5du+yuoWzZsipYsGCa2OHDh23O/HA7s3NmcnKyQ/uzePHihusbJ06c0PHjx+3OwTniBs4RN3COuMHec0RQ0I2bN26OfB0XF5f6hXtwcLDhes+1a9cc+vLdrGnE7HqnLYGBgYa/3a5fv+7QSF45c+Z0qYaAgADD+yEpKcnu94N04/W9vZEhPj7e7iZbPz8/hYaGpoklJyc7dGNcSEiI4VyZkJBg97nSYrEYXkur1erQNLVBQUGp77mbHN2fnnhPJSYm6vr163bnsPX/78TERLtq8ff3N4w2b2t/tmrVyrSh0mq1atu2bWrbtm1q7Pb31IIFC/TYY4851BifP39+lSlTRuXKlVPt2rVVv359VapUSd9++61dDZVm5whHtn+7U6dOqUOHDlqxYoXhGJAcP0f8+eef6tKli0Pv27vuuiv1NalRo4bq16+vGjVqaMOGDTYbKh09R5g1MObIkcPu97bZOeJW9uT57LPPHLrmZbFYVLhw4dTX5t5771XLli1VpkwZTZgwwbShMi4uLt1abj8/uNuhQ4f0wAMPaPLkyerXr5/pc8zeUzfFxsba9VqGhoYamt/i4uJSzx1mOQIDA1PjZueI25UuXTrd//eHhITIarXqypUrOnz4sDZt2qRZs2Zp27Ztps8fN26cOnXqlDp6ZkbvqYz2peT6/yNsfcZdu3bNsO0XXnjBMKtR7ty5TQcHSe8cYfY7efr/EcnJyannyZvXQ27//7en/tYwm1Uus9FQCQAAcItXX33V9CLm0KFDVa9ePY9sc9GiRYZY8eLFdf/99zuds169eoYLYQcPHnQ6303Lly9X165dTb9IrFq1qlatWqVChQo5lTtPnjxq27at4fXYtGmTTp06ZbjobcZspC8p/RHfoqKitGnTJkO8Q4cOLk1VeN9992n37t1pYv/++6/heVlp//s6W1+CVKhQweY6v/76q+kfyX369LF7pEFbHnnkEUNDpSStWrXKpxsqhw0bZvhjt2rVqnruuedMp/b1RQkJCeratavpxTGLxaLJkydr5MiRTud/+OGHDQ2V0o0mSXsaKhMSErR06VJDvGnTpipevLjTdSHzeOszKz3BwcFq166dU+tKN0ZfzZ07t6FJcufOnYqPjzf9TCxevLjp/5ucubHipsyeugpZW1JSko4dO5Z6ITs8PNww8tSdxJ7fLSE5cxoYE+z4fj0zR62A70lKStLJkydTGwDu9OMTyGqsVqsuX76c+jPHKOBbbm3y8vPz4/9V8EmVK1eWn5+fafNtVFSUzfU2b96swYMH22xmzJUrl5o2bar77rtPVapUUenSpXX33Xd75XPK399fEydO1J49e/TVV18Zlv/1118aOHCgvvvuO5fqO3LkiHr37m2zASlHjhxq1KiR6tevr7Jly6pUqVIqUaKEobndE8ya5XPlyuXx7d60cOFCPf/88zaX582bV02aNNE999yjihUrqmTJkipRokSaJjGzpmt3adq0qRYvXpzuc1JSUhQbG6vExET9+++/2rBhg77//nvD90XJyckaNWqUihcvrubNmztUh9lIos4wy3PXXXe5JfetAgMDlTdvXuXNm1f33nuvBg0apO+//14jR440NCueP39e33//vd0zZ93aBOjtz9AdO3bo888/N8Rff/11p79LRebhryMAAID/s3v3btPmp0KFCjk8Jay9zp07Zzp9Q8eOHV36T36vXr2UlJSU5uHIHfdmFi5cqE6dOpk2U9apU0e///67y38APPzww4aY1Wo1HUHQjNmIbyVKlFCjRo1srvP777+b3rnbqVMnu7Zpy6effmrYBz/88EOa52Sl/Z8VmN2JnDt3bjVp0sTmOmbNtJIMI4k6o2bNmipTpozd2/QFs2bN0sqVK9PE/Pz8NGPGDJcbTDNLbGysHnzwQdNmSn9/f3355ZcuNVNKUq1atQwjekg3pp6xZwSHlStXml6cYrrvrMUbn1npady4seloGPYKDAzUAw88YIgnJycbbhC4KSAgQCVLljQ8nP0S4dSpUzpw4IBT6yL7cmR6yqzOnt81xD9zvigIseMwv5NGp4RzstPxCQAAkN34+/vbbLSyNaJ0cnKynnrqKdMREkuVKqUZM2bo6NGjWrhwocaOHauOHTuqatWqHmuGS094eLgWLVqkp556Sp9//rmaNWtm+rwlS5Y4PdvUTc8995zpDaYFCxbUlClTdPbsWa1YsULjx49Xp06dVL169UxpppTMBzG4fRRxT7l69apGjx5t+rdl9erVNWfOHB06dEgzZ87Uk08+qdatW6tChQqGEfe8zc/PT+Hh4br77rvVsmVLjR8/Xvv27dNrr71meG5KSoqeeeYZh/+WOn/+vFtqNTt2bc0M5m69e/fW5MmTTZfd/p1FVpCUlKSRI0camscbNGhgcxRS+BZGqAQAANCNP1KGDBliOlLdRx995LE/Tnfs2GEav33aG2+bO3euHn74YdPXp1GjRlqyZIlb7krs0KGDwsPDdfXq1TTx+fPna/jw4emue/ToUdMh4Pv27Ztuc6I390FW2f9ZwezZszVt2jRDfPz48emONLpnzx5DLCAgQDVr1nRLXXXq1NHhw4fTxE6cOKHo6GiP3NnpivPnz+uZZ54xxJ944okMpxf1FVevXlW7du20fv16w7LAwEB999136tGjh1u29fDDD+vll19OEzt79qzWr1+vxo0bp7uu2ciEOXLkULdu3dxSm7dHrkhOTla+fPkyfF6OHDmUN29eFShQQPXq1VPTpk3VtGlTwwi7vsobn1npqV69ulPr3Z7jxx9/NMQjIyM9NlL3TWfPnlXv3r1dmm4rK8mfP79h2sv0mB0Xt0+Hkx6z91WuXLkc2q9mjbLly5d3qWkuODjY5RpCQkJSvyypU6eOYapAezhSg9lrWahQIRUoUMDuHGb7013/96gQ5qeVtgeDcZsK4Rl3VN5pDZW2zrNm+/P2aWnTY/aeulPOEbdOw+bM8emOc0SJEiVcGjlZynrnCLMa7rrrLod+D7MaKleu7NJxnTNnTpf3Z5kyZQzTJTvC39/f5RqKFStm12jkt27zdr5wjqhSpUqaUbDSO0bv5P9HcI64wRfPEUlJSTpy5Iik/19zaGhoup8lwcHBNqdCdaQOV5hNG+2o0NDQNNN15syZ06G/EwMCApz6P/GtXJm1R7rxHnH1tXS1IcodI9K5Y3+6WkNgYKBDNznbeq8EBgY6XUt6+9PWNZzbzwc331Nz587V3r17Dc9v1aqV5s2bZ/NGUT8/P5s12Hvcm50jbNVfokQJLVmyRFWrVpV04/WbN2+e6tevb3oj6OTJk1WtWjUNGDAg3RrM3lNbtmzRihUrDM+tVauWli5dahjEwp79mN7x48g5IiYmxnSEyhIlSrityTW9PFOnTtXZs2cN8X79+mn69OluHQAgNDTUqd/J2fNdQECAxo0bpyNHjhimZz98+LC2b9+upk2b2p3v33//dXqf3Py77fz586aNmaVLl3YotzPn35vniMGDB2vixImGGdc2bdpkd04/P7/U//c58hnqyP8jbB1jwcHBqXW+++67hpvUg4OD9cUXX9g81wUFBdl8X9v7+7t6bN56jkhKSko9T97MW61atTTnEE9dj/CF70lpqAQAAJD02WefafPmzYZ4mzZt1KtXL49t19Y0zDf/UPcFs2bN0mOPPWba4NC6dWstWLDA5YtsN+XIkUNdu3bVzJkz08T/+OMPnT9/Pt0GHbORvqSMR3wz2wehoaEufUljr6yw/31VfHy8Tp06pS1btmjmzJmmF50eeeQRPfXUU+nmiYyMNMQqVqzo8gX4m2rVqqU5c+aYbtfXGiqffvppwwWTYsWK6a233vJSRY65dOmSWrdurS1bthiWhYSEaP78+S5Nh3y7hx56SOPGjTNcIP7pp5/SbahMTEw0nQamU6dOTjWmJyYmGmK+MFXfhQsX7HreiRMnJEmrVq3SG2+8oZIlS+qZZ57R448/7vIXQJ7mjc+s9FSsWNHpdW+qXLmyafzMmTMu55ZuvF9PnDihyMhIRUZG6tixY4qMjNS///6rLVu2mL6fPW3r1q0qXLiwx7cTHh6e5udbL+46y9VjxGKxuJzD1QZod9Rw64VXZ788drUGX9ifN9W+K0DSdbfkSnc7udOv9/r163dcQ6Uj++hOeE/5wvHpC+cp6c7Yn+6owRfO+b5Qw520P105Ru+U/ck5wn01eGJ/3v4Fu8ViSbcpwtWbC91xc6K7ctyaJ6Pf21M1eHP9O6UGd+RwdH1PHCO21rNarTav/9zeKH4zx7x58wzPzZs3r+bOnWv4u9meGiSZDgLhaI5b5cuXT1u2bDH8Dnny5NEvv/yi++67z7Tp7PHHH1eZMmXSbYIzq8HsNQkMDNRPP/1kOiOYPb9Heq+JI+8Ds2vn0o2bXNx1Q3d6ecxem0qVKrk0m5Kta0+OnmtvX9dZjz/+uKGhUrrRQGhrVFQzp06dUnR0tPLkyeNwDTfrNxt8QrpxvdCd56KMnt+iRQvDd2dXrlxRQkKCXd9F3rovHdmv7visvbm9w4cPm45A+tJLL6V7Ddcd53B3fu6Y/duevxt84XqEO3i/AgAAAC87deqUXnzxRUM8R44cmjp1qke3fbOR5Hau3h3vLjNmzNCwYcNMpxcoX768Fi1a5PJdurfr27evoTklOTlZCxcu1MCBA22uZzbiW926dVWhQoV0t2e2D4oVK5YpI7z5+v73Fmenu73VkCFDNGXKlAyfZzZlSdGiRV3e/k22Ri5xV3OSu6xcuVLffvutIT516tR0L2b6ivPnz6tVq1amI/5JN5rm3dlMKd2Yhqh+/frasGFDmvhPP/2kDz/80OY5ZO3ataZT+DjbSGd2gdQXLjY469ixYxo1apR++OEHzZ492+fPh5n9mZUeR0ZKcjTHraMX2SM2Nla//fab/vrrL/3999+pDZQnT570uelfCxcu7NbzPuBtjfP6yyLJk62MFkmN8qbfNBEfH+/BCgAAAAB426FDh2zOMmFr5N1ff/3VEOvSpYtLM4TZusburIiICJv1lylTRj/99JMeeOABw7TliYmJ6tq1qzZt2qTy5cvbvT2z16RJkyYqWbKkQ3Xfyl2vyd9//22IhYWFZcp1lKtXr2rbtm2G+MMPP+zSyJTufr+4ytbNzadOnXI417Jly/Twww87XcvSpUtN4/fcc4/TOZ1ha4rx6Ohotw3u4mlDhw41XBepUqWKnn/+eS9VBGd4f9gKAAAALxs1apTptAXjxo3z+CiFZtuVjKMYecOUKVM0dOhQm40P//77r77++mu3b7d58+amI0WZNZ/cdOrUKW3atMkQ79u3b4bbM9sHmfX6+/L+z8oqVqyop59+2q4LK7dOoXSTKxfw7M1ltl1viYuL07Bhwwzxbt26qWPHjl6oyDFnz55V06ZNbTZTSjem17h06ZLbt212ger48ePaunWrzXXMRiYsUKCAWrVq5VQNd1pD5U1//vmnmjRpYjqtjy/J7M+s9NiaKsYRtj5/7B05cseOHerZs6fy5cun9u3b6+WXX9Z3332n9evX6/jx4z7XTAnciUrl9FfLAp79HHigQIBK5aShEgAAAMjOli1bZhq3WCyqU6eOIX7t2jVdvHjREHd11ohffvnFpfUd1bBhQ5sDcURHR6t9+/amv6ctZjf8+8prcvt0xZJjU/m6wux1kVx7bZKTk01nuvImWyNEOzPyc3rXIzNitVr1888/G+K5c+fO9BnVbB0/7vzexpNmzpypNWvWpIn5+flpxowZbh+gBp5FQyUAAMjWFi9ebPpHRpUqVfTss896fPu338Uo3bjgkDNnTo9vOyPvvvtuhtP0jRgxQqtXr3brdv38/NS7d29DfM2aNbp8+bLpOgsWLDDUGhAQYJrndmb7wB1NKfbw5f2flf3zzz+qUqWKhg8fnuGX+WZNQqGhoW6rxVau69c9PxWnvcaPH6+jR4+miUVEROiTTz7xUkWOWbJkifbt25fuc/755x/16NHD7imA7NWzZ0/Txl1b0zmnpKSYXpjq3bu3002QMTExhtidcg45duyYunbt6tNTxmb2Z1Z63LHfbX3+ZXSxLyEhQY8//rhq166tH3/8UQkJCQ5vOzg4WP369bN5FzoA+40sHezR/CPsyJ+SkqLQ0NAMHyEhIR6tFQAAAID7Xbt2TR999JHpstq1a5v+bW+rScrWtOH2WLJkibZv3+70+s7q1auXxo4da7rs4MGD6tatm903p5r9/q68Jrt27TK9/uiM22fmkW7MsJIZbL0Grrw2n332mc/dvH3gwAHTuK1RUtOzaNEi01FF7TFnzhwdPnzYEG/btq3Npk9PWb9+vSGWM2fOLHHN+9y5cxo9erQhPmzYMN1///1eqAiuoKESAABkW7GxsRoxYoQhbrFY9Pnnn7s0bYC9goONX0ZarVabU2X4mqSkJPXo0UP//POPW/Oajfp2/fp1LVmyxPT5Zs1LrVu3tuuPTrN94O6mK0e2nZX2vy9LSUnRp59+qoYNG6Z7R7BZk5BZg5qzbOUy2/fesGPHDn344YeG+LvvvuvyndC+ZvXq1abnfFfkzZtXrVu3NsRt3Q28YcMG04t2zk73Lcl05E1vj3Lr7+8vq9Vq85GSkqIrV67owIED+vHHH/XII4/Y/Mz9888/Xbq7OjNk5mdWesya9B1lqxEyvXNWXFycmjdvrs8//9zu7QQFBalixYrq2LGjXnzxRf3yyy+KiorSN99849amdiC76lA4UO0KemaUyvaFAtShcMZ/JxUpUkSlS5fO8FG8eHGP1AkAAADAc8aMGWO4QfumHj16mMZtjS73xx9/OFXDkSNHNGDAAKfWdYcXX3xRPXv2NF3222+/mc4IZMbsddm4caNT31FcuHBBPXv2dMv3C5cvXzZtqGzcuLHLue3h7vfLli1b9Nxzz7lSkkd88cUXpnFHpo2/KTk52anfMSYmRi+//LLpsj59+jiczxUrVqzQrl27DPHMauR11WuvvWZo+i1atKjefvttL1UEV9BQCQAAsq1x48bpv//+M8QHDhyohg0bZkoNtpperl69minbt9dDDz2kadOmmS67dOmS2rdvr/Pnz7tte7Vr11aFChUMcbOmmvPnz+v33383xO1tUDLbB5n1+meV/Z/Z1q1bl24zltVqVXx8vC5cuKCdO3dq1qxZ6tWrl+kIfzt27Eh3hDuz0dhsTcXuDFu5fOFuyuTkZA0ePNhwga1hw4YaMmSIl6pyTZ48ebRo0SJVr17ddPm0adNMG0hdYdZMd+jQIdMpcczOYRUrVjSdBsleZqMg+vr0JxaLReHh4Spfvry6d++u//3vf9q/f7/N6WMmTpyYyRU6JjM/s9Ljjs8OWzny5Mljc50+ffpo48aNNpdXq1ZNI0eO1BdffKE//vhDx48fV3x8vP7++28tXLhQb775ptq1a6dcuXK5XD+A/29GrVDlDrS4NWfuQIum1aTpGQAAAMiuYmNj9fjjj9uc2aZAgQIaPny46bLQ0FDdddddhvjevXsdnqJ6w4YNatCggc6dO+fQeu726aefqkGDBqbLvvrqK7377rsZ5ihWrJghFh0dbfP7GFv279+vBg0a6N9//3VoPVtmz55tmGUpICBALVq0cEv+jBQtWtQ0vmzZMtPrrulZuHChWrZsmeFsVpnt008/Nb1BOSAgQA888IBTOZcsWaLXX3/d7uenpKTooYceMh2dslSpUnrwwQedqsMZ27dv16OPPmq6rG3btplWhyvMBj+YMmUK1z2zKBoqAQBAtrRjxw59/PHHhniBAgX03nvvZVodthrq3NnQ5QqLxaLXXntN3333nYYMGaKXXnrJ9HmHDx9Wly5d3DqNsVmT0ooVKxQXF5cmtnDhQkNDWK5cudSxY0e7tmO2DzLr9ff1/e/LQkJClCdPHtWsWVN9+/bVDz/8oL1795o2Nf3+++/69ttvTfMUKlTIEDtx4oTb6rSVy2y7me3DDz/Ujh070sSCgoI0Y8YMWSzubcDIDBUqVNDmzZvVoUMHLVmyxOYIm88++6zNkQOd0bFjR9Nj2WwUQrOYq410p0+fNsR84f3lqLJly2r16tXKly+fYdnWrVvd2rTvCZn1mZUed3yJEBUVZRq3NXrmvHnztGjRIkPcz89PAwcO1D///KPdu3fr448/1sCBA9WoUSMVK1Ys06cKArKjIjn8NL9eqILddLgF+0nz64WqSA6OXwAAACA7uXLlijZs2KCXXnpJ5cuXT3eGitdeey3dG8lbtmxpGu/Xr5927tyZYS27d+9Wv3791LhxY505cybd55o1NrlbcHCwFixYoDJlypguHzt2rBYsWJBuDluvybPPPqtVq1ZlWMORI0c0atQo3XPPPTanj77J3tfk8uXLeuuttwzxBx54QLlz57Yrh6siIiJMRyVMTk5W165ddezYsQxzrF+/Xp06dVLnzp0zvBE5M94v8fHx2rVrlz799FPdd999Gj58uFJSUgzP69q1q0s3zI8fP15jxozJcJTTqKgoPfjgg1q8eLHp8hdffNHj1/AuXLigFStWaMCAAbrvvvtMr02Gh4frscce82gdntK1a1d17tzZ22XASVwBAwAA2U5ycrKGDBliOu3BpEmTTO+S9JSSJUuaxg8dOpRpNdiSI0cOzZkzR+PGjUuNvf766+rVq5fp89evX6/Bgwe7bftmzSlxcXFatmxZmphZg1L37t2VI0cOu7Zjtg9OnDjhlqlTndm25Bv7PyuqUKGClixZYjqN95dffmm6jtk+OHDggM1pbx31119/mcZLlCjhlvzOOnr0qMaPH2+Iv/jii6pYsaIXKnJNy5YttWnTJpUtW1aSVLx4cS1atMh06uCUlBT16dPH4TuZbQkNDVWXLl0M8dtHJ9y6dauOHz+eJmaxWEzPdY4wa9rNqtO1FyxY0HRa9pSUlHRHQPQFmfWZlZ6///7b5Rz79+83jds6Z73yyiuGWFBQkBYtWqQvvvjCtMkdQOZpnj9QS+vndHmkytyBFi2tn1PN82c81TcAAAAA3/PDDz8oX758Dj3y5s2r4OBgRUREqGHDhnrrrbd06tQpm9sYNGiQhg4dmm4dtq6DXbhwQffff79GjhypdevWKTo6WsnJybp48aI2bNigN954Qw0bNlSNGjX0v//9L00Tmq2ZXyZNmqRTp04pISFBR44cseNVck6+fPm0ZMkS00ZDq9Wqvn37Gm5qv9VDDz1kGk9ISFCbNm306KOPatWqVTp//rySk5N1+fJlbdu2TZMmTVLr1q1Vrlw5ffLJJ2m+zyhbtqxpPZ9//rkOHTqk69evp/kOYuPGjbp27ZqsVqv27dun9u3bG65jSjf2cWay9X45fPiwatSooZdeeklbt27VlStXlJycrKioKP366696+eWXVatWLTVq1MhwI7Ct98ubb76pixcvKi4uTpGRkXbX+Mcff2R4LOXJk0chISEKDQ1VzZo1NXz4cG3evNk0X3BwsMvTQ1utVk2cOFE1atTQJ598omPHjqU2V169elXbt2/Xs88+q8qVK2v58uWmOerWrasBAwY4tf2jR4/adY7JkSOH8uXLpzZt2ujrr7+22QD6/PPPK3/+/E7V4k0RERE2R/NF1kBDJQAAyHY++eQTbd++3RBv0aKF+vbtm6m1VKlSxTTuaqPP4sWLVbZs2TSPe++916EcS5YsUY8ePdLELBaLvvnmG91///2m6/zvf//Tm2++6XTdtypdurTpdm5tUrpy5YpWr15teI4jI76Z7YOkpCSbTSX2evnllw37YOTIkRluW/KN/Z9VlS1b1nTakc2bN5ve7Wk2xXBycrJdd0TbY9u2bYZY8eLFM+1OXluGDRtmGDmvUqVKGjt2rJcqcl7z5s21bNkyw2tap04dffvtt6Z30cbExKh9+/YZ3sluL7OLe3v37tXBgwdTfzab/rlx48YuNddevXpVFy9eNMRLly7tdE5vs3VXvrv2ladk1mdWevbs2eNyDrPPn4CAgNRm5Vvt27fPtInzlVdecWk6oMTERKfXRfZjsViUP3/+1EdWHGHZ05rnD9TeFuFqVzDAqfUfLBSgfS3CaaaEwzg+Ad/GMQr4toCAgNQH4A7Xrl3ThQsXHHpcvHjR7hmpevbsqc8++yzD53Xq1ElNmza1WeOUKVPUuHFj5cmTRwEBAcqbN68aNmyocePGacOGDYZ17rvvPq1Zs8b0pvnffvtNRYsWVY4cOdS8eXO7fg973X6MVqxYUfPnz1dgoPHvpri4OHXo0EEnT540zVWzZk3169fPdFlKSopmzZqlVq1aKX/+/AoICFDu3LlVt25dPfvss1q5cqXhmne5cuX022+/qWbNmoZ8+/btU7ly5RQcHKxy5cqlxvv06aPQ0FCFhoaqatWqWr9+vWHdihUrZvpIe8OGDbN5s+6VK1f01ltv6d5771VERIQCAgJUsGBBtWjRQm+++abpQAedO3fW2rVrFRwcbFj2ww8/KG/evMqZM6fN/WEmMTExw2MpOjrargE8/P399e233zp1bbdMmTKGgSb279+vUaNGqVSpUgoODlZ4eLhy5cqlOnXqaNKkSbpw4YJprty5c2v27NlOj06ZkpJi1znGnkEtOnXq5PB3Fv7+/j7xGfrOO++oSJEiXq0BrqGhEgAAZCvHjx9PM+LiTcHBwXb9we9uFStWNP0j29bdafZatWqVDh8+nOZhNlJbesqXL28aDwkJ0c8//2xzdMVx48bpxx9/dLRkU2ZNSr/88kvqhZwlS5YYLuoUL15cTZo0sXsb1atXN427ug8WLVpk2Ad58+ZN8xxf3v9ZWeXKlQ2xhIQERUdHG+K2moPnzp3rch07duzQ0aNHDfH77rvP5dyumDVrllauXJkmZrFYNH36dNPRPX1dqVKlbF4c6dKli9555x3TZcePH1fHjh0VHx/vcg0tWrRQwYIFDfFbm+nMRiZ0tYn/n3/+MY1n5VEBbd1tbHb8+prM+MxKz9q1a10aXTklJUUrVqwwxKtVq2b6WfXrr7+a5unfv7/TNSQmJtqcdhww4+/vr/Lly6c+/P39vV2STyqaw0+/1A/TovtyqlWBAGXUMmOR1KpAgBbdl1NL7g/z/jTfpQtKFYt59lHa+DkO13B8Ar6NYxTwXRaLRSEhIakPGp7hy4KDgzVlyhTNmTPH7ualr776yi2zqzRp0kQrVqxQrly5DANDeJKtY7R58+Y2p0M/deqUOnTooNjYWNPlH3zwgSpVquRybVWqVEltJHX0NUlJSbHZ4GaxWPTJJ594fPrn2wUHB2vWrFkKCwtzOVfPnj01d+5chYWFqWPHjm6ozr3y58+vefPmqXv37k6tX7JkSX344Yc2l6ekpCgmJibDPGFhYfrll19sTmOfmfr27avvv//e4fedL3yGNmjQIMMRe+H7aKgEAADZyogRI0z/aHjxxRfT3JGXWXLkyKFGjRoZ4kuWLLH5x3VGkpOTtWDBAkO8Ro0aTuUzU6BAAf3yyy+KiIgwLLNarerXr5+2bNni8nZ69uxpuBBz5coVrVq1SpL5iG8PP/ywQ38kNWjQwLTZ8IcffnCw2v/vwIEDpiOF3b4Psur+93W2/sA2+4KoWbNmpo1CP/zwg8ujpM2aNcs03qpVK5fyuuL8+fN65plnDPGhQ4eqYcOGXqjI88aMGaPBgwebLtu6daseffRRWa1Wl7bh7++v3r17G+I3z1F79uxJM1qldOPCjqsXe81GEyxcuLDy5cvnUl5vMhtxU5Lp542vyYzPrPTExMSYNkTaa/369abNjGafU5J0+vRp07grX4qsWLHC5vQ+AFzXoXCgVjQI0+FW4ZpZO1SjygSpdYEANckXoNYFAjSqTJBm1g7V4VbhWtEgTB0K+8iolD+MkbZM9OzjhzHe/i0BAACALCM8PFzPPvusDh8+rOHDhzu0bqlSpWyOKmmPgIAAPffcc1q9erVy5col6cb3O2YzEWW2AQMG6PnnnzddtnPnTj388MOmsyjlyZNHa9ascekafv/+/bV58+bUEfEGDx6sZs2aOZ3vVuPHj7c5q4yn1a1bV0uXLnX6emeOHDk0adIkzZkzJ/V7gPfff19FixZ1Z5lOy5Mnj5588kn9/fffLo8A+sQTT2jy5MlO3yhToUIF/fnnn6pfv75LdbiqatWqmjNnjmbNmpUlBwoJCgrS9OnTuSHiDkBDJQAAyDZWrFihRYsWGeIVKlTQCy+84IWKbmjfvr0hFhsbq9mzZzuVb+HChTpx4oQh7u5pLSpXrqx58+aZ3nkaHx+vTp066fjx4y5tI3/+/KbNZ/Pnz1dcXJyWL19uWObo1KkhISGmFwP++OMP/fvvvw7lumnq1KmGmL+/v+koZFl1//uyAwcOGGJBQUGm02znypVLXbp0McTPnDmjjz76yOkaIiMjNW3aNEM8Z86cmXrH9O2eeeYZnT9/Pk2sSJEiNkdxvFN8+umnNi/6zZs3Ty+//LLL2zAbnXDbtm3677//TEen7NChg8tNgmZTHdWtW9elnN5mNqWQJNMRQH1NZnxmZeTdd991et233nrLNG5r+m5b0wLZimckJSVFr732mlPrAnBMqZz+evTuIE2uHqrlDcL0W6MwLW8QpsnVQ/Xo3UEqlZNRygAAAADcaF7Mly+fKlSooCZNmuj555/X0qVLderUKZea0ipVqqRdu3Zp2LBhds+Y4+/vr+7du2vHjh16991303wvkTt3bm3atElvv/226tWrpzx58sjf31/BwcGqUKGCunbt6lSdznj77bfVrVs302ULFy602XBZuHBhbdmyRS+99JJDIzK2atVK69at09dff62cOXOmxgMDA7VixQpNnTpVjRs3Tp0yPDAwUKVKlVKfPn0yzB0UFKSJEydq/PjxdtfjCY0aNdKePXvUs2dPu0crDAkJ0cCBA7V//37DAAMlSpTQrl279OKLL6pWrVqKiIiQv7+/cuTIoWrVqqlt27Zu/x2Cg4NVoEABlStXTq1atdILL7ygBQsW6NSpU/roo48Ms5s5a9SoUVq/fr3q1Klj9zqFCxfWO++8o127dqlatWpuqcNe4eHhKlGihBo3bqwXX3xRv/76a+q+zqpeeOEF01nUkAVZAQAA7jBff/21VZLdj99++80t2x0/frxp/vHjx6e73qlTp6yBgYGG9QoVKmS9cuWKQzUkJCRYy5QpY8gVERFhjY2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      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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r1k21atXSfffdp4CAAEm3xsSDBw9q/fr1mjhxombNmmV6LT1mzBh17dpVNWvWNK0/MDBQ7du317fffutUnpCQoOnTp3sVYLhw4ULT7KotWrRI1vF7+vTp6tChg+mDbEWLFtWSJUtUuHDhZNv/vex4rQZ4atbJm5p72rOHdNw151ScZp28qRZ5Eg/mP3HihGJjY5OlDUgZQUFBKlCgQGo3AwAAAAAAABZKMxk0JalDhw6GsiVLliSZacjMwYMHtXHjRkO5VRkqoqOj9fnnn5su69Wrl7Zt26aePXuqQoUKTplS/Pz8VLBgQbVu3Vrjxo3T1q1bXQYp/fzzzy73379/fzkcDrderqZfHz16tNt1JDaN5tSpU/XDDz+YLnv44Ye1fft2/fjjj2rYsOGdG5OSlDVrVrVo0UI///yz9uzZ4/Im2YsvvqhLly653L8nvM3IevToUZ+mI73bZ599ZprBrEKFCtq+fbu+++471atXz5BRNiIiQtWrV9dHH32kf/75x2Vw2ZIlS1xmOyxcuLDbx9zhcKhYsWKGOurUqeNRHcnpxIkT6tOnT7LuI6VdunRJTz31lOnN+syZM2v8+PFas2aNunXrpvz589/JFhQaGqpKlSqpb9+++vvvv9W/f3/TzF/Tpk3TpEmT3GrL0KFDTacGDwsL06hRo+60o2DBgneCbQIDA1WpUiX1799fe/bsMQ2IjomJSdbMlSdOnHA5JWZQUJB+++23FA3OTEhIULdu3TzOtufK+vXrXWbWKlOmjNauXavJkyerdevWd4L+pFvnT4MGDfT1119r//79euyxx0zr6NOnT5LZ5ezmr7/+cjtQLqXY6Th17drVNAtZ4cKFtWLFCk2ZMkUtWrRQrly57owbGTNmVL169fTjjz/qzz//VP78+Q3b79y50/D5/8gjj3j0GXE7sOZuXbp0cXv7Q4cOufx/Hz582GWmtHz58mnBggWaP3++OnXq5PR/Dw8PV40aNTRw4EAdOHDAZTDO119/rT///NPl/u/2zjvvaN++fYby7Nmza8aMGVqwYIGefPLJO0H30q3MajVq1NCXX36prVu3qmzZsobt//33X3322WdOZXb/rJ89e7bOnj2b6OvChQu6du2atm/frvfee08ZMmQwrWvQoEFu7/+FF14wfXjBz89P77//vvbs2aO+ffuqdOnSdzKXBwYGqlixYnrppZe0du1a/f7776ZBmIcPH1bv3r09eBeQHqSl70BpyZEjR0yzrfv5+Wno0KFav369XnjhBZUuXdrpM8Tf31/FihXTk08+qRkzZmjFihXKnj276T4S+54tWT/NuauHo5566imv6nPH5MmT1a5dO9PgzDJlymjlypUpGpxpx2s1pB0JCQk6d+7cnVdqzjbzzYHryVr/cDfq9/f317Vr13il4Vd6CrC1U/8EYEQfBeyL/gnYG30UsC/6J+wsTQVo1q9fX9myZXMqi4uLczvb293Msmfef//9lk1vvmDBAtMsSJ07d9aQIUPcmr5OunVzZNasWaZTWK9du9b2A8qVK1dcBj889thjWrJkiUqWLJlkPUWLFtXixYvVrFkzw7LTp0/ryy+/9Kp99065fOTIEdPA3aRMnTrVKQAgU6ZMhgBKdyQkJJje2MuWLZsWLFigIkWKuFVPhgwZ9NNPP6lWrVqmy9esWeNx29KiV155xeMpu+2uT58+phkrc+fOrRUrVqhjx45J1hESEqJ+/fppzJgxpsvfe++9JIMFjx8/rvfff99QHhQUpNmzZ6tbt25JtiNHjhyaM2eOypUrZ1gWFRVlGijjqyNHjqh27dras2ePYVloaKimT5+e7FNJ3uubb77R+vXrLakrISFBzz33nOlUzTVq1NCqVav00EMPJVlPrly5NGXKFNPjGBMTo379+lnS3pQQHx9vaQCsFex0nKZMmaLZs2cbygsUKKA1a9aoRo0aSdZRuXJlzZs3z3Ta7f/973/JHozvre7du5tmLCtZsqT+/PNPNWrUKMk6IiIiNGLECA0YMMCwLCEhwa2gvA0bNui7774zlGfOnFnLly9Xy5Ytk6yjWLFiWrhwofLkyWNYNmrUKF27lv6mxMyQIYPKlSunTz/9VEuXLlVISIhhnWPHjmnTpk1J1jVp0iTNmjXLUB4QEKDx48drwIABCg0NTbKetm3batWqVabXgD/88INpEC7SJ7t/B0rLpkyZYvoduG/fvurZs6fpA0hmatasqd9++810WVLZ96tXr276EOXy5cs9fng0Li5OM2fONJRny5ZNTZo08agud40dO1YdO3Y0vTaqVKmS/vjjD+XNmzdZ9m3GjtdqSFsSEhK0Z8+eO6/U+p3sYHS8Fv+bvOfxon/jdDDa+B3ibq4eXAFSg136JwBz9FHAvuifgL3RRwH7on/CztJUgGZgYKBppiizYMukmG1jZVCO2U2dwMBAr6awLVOmjOnNmZiYGJfTMNrFt99+q3///ddQXqFCBU2YMMH0ZrorISEh+vXXX1WoUCHDsuHDh3v1hLnZzU5vAn7vDaps1qyZV9NY7ty503TKznfffVe5cuXyqC4/Pz+9+eabpsvMpj9Pb6ZOnarp06cbyu/OUJTWHD161DRjUGBgoH7//XeVL1/eo/qeeuopvf7664byAwcOJJkBaNiwYbp+3Zi946uvvlLdunXdbkN4eLjpFM/x8fFeje2J2b9/v2rVqmU6dWJ4eLjmzp2rpk2bWrrPpBw5csQ00NXb6SwnT56snTt3Gsrz5cunGTNmeBQ47u/vr2+//VZVqlQxLJswYUKaGUe+/vprQ+B9SEhIqt64tNNxMrsuCQwM1KxZs0yD/VwpV66caebbffv2afPmzW7Xk1LWrl2r+fPnG8ozZcqkmTNnejyl4Pvvv2861fDKlStNp72+25AhQ0yDWMePH2+aFdOVvHnzasiQIYbyixcvat68eW7XkxZVq1bN9PNMknbv3p3otg6HQx9//LHpsk8++URPPvmkR225//77TT+r4+Pj9dVXX3lUF9Iuu38HSsvMvmfnyJFDffv29biuBg0aqEKFCoZyd65xzB6KchVsmRhXQZ1PPPGE2w91emLUqFF65plnXD4ksnTpUpeZRZOLHa7VTp48qePHjyf7K709PAhnK87FK7kfS3JIWnmOAE0AAAAAAAAgrQlM7QZ4qn379vrxxx+dypYtW6azZ8+6fSNh//79psEC7du3t6SNkvTPP/8YyurWravcuXN7VV+NGjU0Y8YMQ7mdb8jdvHnT9Ea0v7+/fv31V7cyEd0rMjJSAwcONEwrd+HCBU2dOtWt7IF3e+yxx/T777873aCaNm2aBg4c6HYdp0+fNtwobNu2rdvTmt7N7LyR5HFwwG2uMp/Z+byxwuXLl/Xqq68ayp999lkdOHBAf/zxRyq0yndDhw41ndq8Z8+eLqe/TMqnn36qsWPHGoK9f/rpJ3Xo0MF0m6tXr2rUqFGG8rJly7qc6jcxNWrUUK1atbRy5Uqn8iVLlqhXr14e12dmz549ql+/vukN9yxZsmju3LmqVq2aJfvyxMsvv6yrV686lZUqVUqPPfaYYVpid3z++eem5aNGjfLqZntQUJD+97//6eGHH3Yqj4+P1y+//KL33nvP4zpT0uHDh02nEX/vvff0888/6/Dhw6nQKvscp1WrVplmb33++edNA1aS8tprr+mTTz5RTEyMU/mSJUtUuXJlj+tLTq6OwaBBg3Tfffd5VeewYcM0Z84cQwawn376SVWrVjXd5tChQ6YB8Y0bNzZ9iCQpTz75pN59910dOXLEqXzJkiVq06aNx/WlJS1bttQXX3xhKD99+nSi282cOVO7du0ylFetWtXrackfe+wxNWzYUIsWLXIqHz9+vL766iuvroGRdqSF70Bpmdn3pdatW3vdr2rUqKGtW7c6lbnzXalz58765JNPDOVRUVF65pln3N6/q4eikmN682HDhumNN94wfSigQYMGmj59ujJmzGj5fhNjl2s1swddkkO/fv3Uv3//O38nJCR49BR/QECAIUusJ5lH/fz8FBAQ4FTmcDhMA3Zd8ff3l7+/87Pe8fHxHmVMDwx0/inSijbcvX933pN72+DOdmbb3G3ThZTJArvpYpyeLmicZee24OBg+fn52TaLPdKXe/tNcvRPO4xTku/jrR3GfCvaYIcx3w5tSK/HM7E2pefrCMYI69qQHo6nncYIX/qnHc6p9HI8GSOsa0N6OJ632+BuH03P1xGMEda0QUofx9NOY4Qv/dMO51R6OZ5WjBHpccalNBegWa9ePWXPnl1nz569U3Z7mvMXXnjBrTpcTW/uzjRz7jLLglipUiWv68uaNatpuZ1/cF28eLFp5ph27dqZTmnsrvbt26t3796GaZ5nzJjh8c3JnDlzqlatWlq+fPmdsj179mjXrl0qU6aMW3VMmzbNaYAKCwtTkyZNvAosMztvcuXK5fUUc2nxvLFC7969DYF4OXPm1JAhQ/T4449bso+UDnJNSEjQxIkTDeXh4eF65513vK43Y8aMevHFFzVo0CCn8uXLl+vy5cummWAnTJhgeq6+9957hg9Pd7Vt29YQoLljxw6v6rrX9u3b1aBBA9PxKGfOnFq4cKFXwWi+mjRpkubMmeNU5ufnp1GjRmnJkiUe17d792799ddfhvJq1ar5lBm0Ro0aqlatmtauXetUPmPGDNsHaHbv3l3R0dFOZWXKlFGfPn30888/p0qb7HSczKbV9vf3N83q6o7w8HA9+uijmjZtmlO5VX3ZKpcuXdLcuXMN5QULFlTXrl29rrdgwYJq27atYayeNWuWHA6H6bS7o0aNMv2yZhas4g4/Pz+1adPGEBxmt2OQHHLkyGFanlQGugkTJpiW9+/f3+2pks306tXLEKB55coVLVu2LNmmLYY9pIXvQGlZSnzPdue7UsmSJVW5cmVt2rTJqXzRokW6cuWKMmXKlGQdCQkJphn/S5Qo4dWhqFwAAQAASURBVDKw31tffPGFy6Dzli1bavLkyR5ldrWKHa/VUtKZM2dcPqRppkKFCgoPD3cq2759u65du+bW9hEREbr//vudyi5fvuzRdUKpUqWULVs2p7J9+/aZZoI1ExISogcffNCp7Pr164a+lJgiRYoYfiOJjY3VjRs3JEkbNmww/Lh9r3sfbJKUaNbzgICAJB/o23s1ZabM2nsl6f0QoImUsm3bNqcH9MzGiGvXrt25qZJU/0yuMeLw4cM6efKk23V4OkbcK0+ePCpatKhT2alTp3Tw4EG366hcubLhAZS//vrLdDYbM1mzZlXp0qWdyi5cuKA9e/a43YZy5coZZiLatWuX2xmhw8LCVLFiRaey6Ohow8MxiSlevLhhVqn9+/frzJkzbm1vNn7Hx8d7dDwLFCigggULOpUdO3ZMR48edbuOqlWrGm7ebty40e2btzly5DA8TGrFdcTOnTudjmdifTQ9X0cwRtzCGHGLXcaILVu2uN0/k2uM4LvGLYwRtzBG3HJ7jEhISNCVK1fulLvqo+n5OoIx4hbGiFvsNEa42z/T83VEehkjtmzZ4nYb0oo0NcW5dOtENwuw8mQqXLN1rcyeKd0KvDl48KDTy5dAFrtPZW5mypQppuW+BD9ItyLRzW5sL1u2zKv62rZtayjzZJrze7OeNGnSRGFhYV61pV27dobzxpepYdPieeOr1atXm06Z/b///c9lwGpiXGXJcPeCzyqrV6/WqVOnDOWtWrXyeRrCFi1aGMpu3rxpCJi8zWzqxtDQULVs2dLrNjz00EMKCAhwep08edKQXdJTmzdvVt26dU0DJfLnz68VK1akSnDmhQsXTKfj7datm2rVquVVna7G3Oeff96r+u5mdo5s3LjR6QLXbiZMmGCYwvp2AGxwsOuMM8nNLscpLi7ONEixRo0ayp8/v9dtqFq1qqEv79u3z+v6ksPMmTPv3MC/21NPPeXzuWF2DE6dOmWaofF2W+5VoEABVa9e3es2mB2Dv//+2+v60gpXP4Ik9gBWbGysIVBekvLly6dHH33Up/bUq1fPNBPd0qVLfaoX9pdWvgOlVatXrzZ8X3r66ae9rs+X70v3ZjSVbv2wazaumFmzZo3p9X3nzp29bpOZjz76yGVw5hNPPKGoqKhUCc6067UaYCapgE9Jio1PmYDIWDfiQH15yAQAAAAAAACA9dJcgKZkHky5fPlyt6KZ//77b9PMVVYHaObOnVuFCxd2epllonNXWryZaxbcFRYW5nXw0d3q1KljKDtz5owho4w7Hn/8ccOP7e4GaJ4/f94p+6Ykn6YQDQ8PN5w33mbPlNLmeeOLGzduqFu3boZMEU2aNPF6mnhXQZ2ePKVlBVfBkr4GkEi3pvTLkCGDodzsqYSEhAStWLHCUF6/fn3DkxGeqFatmuLi4pxeN2/e9KnOtWvXql69ejp37pxhWdGiRbVy5UpLMyd74q233jJMu5snTx6X0y67IznPEbMxNyEhIcX7gbvOnTunN954w1DevXt306fTUpJdjtOWLVt06dIlQ3mrVq18akPv3r0NffnerJ6pLaWPgWQ+np45c0Y7d+40lLds2dKnm+odOnQwHANPnuBMq8wewIqMjHR5TKRbQfz3Zm6TrDkXgoKCTANt0+MTf3CWVr4DpVX58+c3fF/y9uE4h8Nh+C7niSeeeMI0aMvVtOX3cvWd08oAzXfffddpSu27de3aVePHj09y2ubkYOdrNcCMO9M6hQakTFBkqBu/5JI9EwAAAAAAALCXNDfFuSQ98sgjypkzp1NGtPj4eEVFRal79+6Jbmt287Z8+fKGtK12kZCQoMGDBxsyS9jd1atXtX//fkN58eLFLcnOUahQIdPyffv2eZz5K0+ePKpRo4ZWrVp1p2zLli06dOiQChcunOi2M2bMuDNNj3QrPXbz5s092n9y2bhxo1fTrKdlAwcO1O7du53KMmbMqBEjRnhdp6vslAsXLtS1a9e8viHsKbPAckkqW7asz3UHBQUpb968hj5rlvXu77//Ns3Gd28a8dS2YsUKNW/e3LStZcqU0aJFi3wKfvbFsmXLTKds/OabbxQZGel1vWbnSEREhE/ZEG9LbMytWbOmz/VbrVevXoaHNvLmzatBgwalUov+j12Ok6vszHbry8khOcfTfPnyKTAw0OnaQDIfT//Lx8Bqv/32m2n27H79+pk+gHBbcp4LknmftFtG2bRqxYoVbmUQ9/f3V2RkpLJly6YSJUqoTp06atSokQoUKJAs7UpL34H+627cuKFevXq5zHDsjjx58qhevXpavHixU/m8efMUExOT6PgjmQdoPvzww4Zpirz1xhtv6Ouvv3a57KuvvrJkP96w87VaSsqRI4dheq7EBAQEGMrunf4nMWYPgERERKhq1apu12EWlHzffff5FBAYEhLicxtCQ0PvTM/14IMPehV47EkbzJQM99dC48QNliuZKekITQI0kVLKly/v9LdZ/7z7dzNv+qcVY0ShQoUM08Z5ypM2mI23uXPnVs6cOd2uw2zMf+CBB3xqQ5YsWTz6f5i1oUyZMj6NMRkzZvT5eBYrVsyn66WAgACf25A/f36Pflc0ey/vnWIzMWbH04rriLJlyzpNO5hYH03P1xGMEbcwRtxilzGiYsWK2rhx452/Pe2ffNe4hTHi/zBG3GLVGBEXF+dWH03P1xGMEbcwRtxipzHCl/6ZXq4j0ssYkR7vl6bJAM3b05yPHDnSqXzy5MleBWhanT3TG2fOnNHhw4d16NAhHT58+M6///zzT509eza1m+exPXv2mGYY8OTDITGuBoTjx497VV/btm2dAjSlWzfM3nzzzUS3uzc7SqNGjZQpUyav2uCNa9eu3Tlf7j5vtm/frh07dqRYO+xg9+7d+uyzzwzlAwYMcHkz2x05c+ZUnjx5DNnHzp49q4EDB+qTTz7xum5PuLp5bGWfujegwKw/uZomt1y5cpa0wwqLFy9Wq1atnH5gvK1SpUpasGCBz9PCeys2NlYvvviiobxly5Y+Zd89e/asaRZpu465yWnx4sUaM2aMoXz48OE+ZbK2gp2OU1roy8nFbDwNCgpSlixZLKk/a9asTg8RSRwDq8XExOjEiRNav369xowZowULFhjWeeqpp0yzs90tJT5b73Xy5EklJCS4NVXqbc2bN/c6w11MTIxX25mJj4/36fPz8uXLlrXl5s2bphmyzZw5c0Z///231q5dq3HjxikgIEBt27bV+++/b3l/S2vfgXxhp/PBFYfDoVOnThm+Zx88eFBr1qyxpA2dOnUyBGhGR0drwYIFat26tcvtNm3apMOHDxvKn3rqKZ/b5HA49NJLL5kGrkvSBx98oI8//tjn/XjLjtdqGzZsUJ48eZJ9P/f+VuDv7+/R54EZXzOg+vn5+VyH2Y+wKd2Gu3/IDQwM9Ko+X9tQOUugpBs+1eHWfiITb+eNGzcI0ESKcaff+No/7TBOSb6PEXYY861ogx3GfDu0IT0dT1/6aHo5nowR1rUhPRxPO40RvvRPO5xT6eV4MkZY14b0cDzvboO3fTS9HE/GCGvaIKWP42m3McLb/mmHcyq9HE87jBF2lGb/R+3btzcEaK5YsUKnT59Wrly5TLfZu3evtm3bZihv165dsrTRzKZNm7Ru3Trt2LFDBw8evHOjyMqbp3Zw/vx50/LFixf7NG1nUi5cuODVdm3atFHPnj2dfsSeNm1aogGaly9f1qJFiwz1JIfTp09r6dKl2r59u/bt23fn5qJZoM9/kcPhULdu3XTjhvPNkAcffFCvvfaaz/U3aNBA48aNM5R/+umnCg4O1nvvvefRB4Q356mrPpWc2ZLM2ulqCk1fnw6yypw5c9SmTRtdv37dsCxLlixavHixZUFY3vj4448NQVmZMmXSt99+61O9rs6Pf/75x5ZjbnKJiYkxfVDjscce02OPPZYKLXJmp+Nk1peDg4NdXkOlFzdu3DCd0vrmzZu2OAaSfcbT1GLFNNAvvPCChg8fnuR6rvpk586dLZ1i+G5xcXG6evWqR0FIly5dSpa2eMPdoEg7i4+P16RJkzR9+nQNGTJEPXr0sKzutPYdyFd2OR/i4+O1du1abdy4UTt27NChQ4d06NAhHT161PSa0Ept2rTRyy+/bPg+HxUVlWiAptk06MHBwT4/PJqQkKDnnnvONABSkrp06ZKqwZl2vVbLkyeP8uXLl2r7R/pQO1uA/CQlZ2ikn6Ra2RK/WZDefl8EAAAAAAAA0oM0G6BZp04d5cqVS6dPn75Tdnua85dfftl0G7PsmRUqVEj26c0vXLigYcOG6ccff3R5Mz69Sa0byd7+EJ0/f35VrVpVa9euvVO2Zs2aRAN+Z8+e7RQQGBQUpFatWnm1fzMOh0MzZszQl19+qdWrV5MBIRHff/+9Vq9e7VQWGBioH374wZInV55++mnTAE3p1vSpY8eOVZcuXfTII4+oTJkyTtmNrl69qj179mjHjh1at26dVq1a5VV209ToU2b9yVWmoZTMHOvKtGnTNHz4cEOg7m0XLlzQF198YZppNSVs375dQ4YMMZQPHDjQ50DbtDbmJpePPvrIkAk2IiLCrUCtlGCn42TWl+3Qj5Ob3Y+B9N84DsmpVKlS6tmzp4KCgpJcNzXPh9TO6Avp+vXrevXVV3X16lX16dPHkjrtNMb8F5w8eVKDBw/WuHHjUm3WiUyZMqlFixaG3xpmzZqlmzdvuhyLzKY3b9asmU8PEsXFxalTp06aOHGiy3WmTJmi1157TZUqVfJ6P76w+7Ua4IsiGQPUIGegFv0bl2z7aJgzUEUyEqAJAAAAAAAApDVpNkDT399fbdq00XfffedUPmnSJI8CNJM7e+a0adP0/PPP+5TVpHLlysqZM6fmzZtnYcuSV2xsbKrsNy7O+x/C27Zt6xSgmZCQoOnTp5tORywZs57Uq1dPkZGRXu//bseOHVPHjh21cuVKr+vIli2b2rdvrxEjRljSJrs6ceKE6U31N998Uw888IAl+2jQoIEaNGhgmL7wtv379+vDDz+883dAQIAyZswoh8OhK1euWNKG1OhTZv3JVRai8PDw5G5OkoYOHZrkOoMGDVLJkiX1zDPPJH+D7pKQkKBu3brp5s2bTuXVqlVz+ZnlibQ45lpt69at+vLLLw3lgwYNUt68eVOhRUZ2Ok5mfdkO/Ti52f0Y+Pn5KWPGjCnRpHRrz549Klu2rLp3764hQ4YoQ4YMLte10/mA1PPee++pQoUKatKkic91cU6lnJEjR6pnz54+ved169bV9evXtWbNGp/a0qlTJ8NvDZcuXdKSJUv06KOPGtbfuXOn9u7dayj3dXrz27MsJCY6OlotWrTQ+vXrUzxjZFq4VgN89WrRkGQN0OxRNCTJdRISEhQWFpZsbUDyc+dBIwAAAAAAAKQtaTZAU7o1zfm9AZqrVq3SyZMnlSdPHqfy3bt3m2at83UKscQMHTpUvXr1cnt9Pz8/5c2bVyVKlFDJkiVVrVo11apVS8WKFVP//v3TVIBmSEjSPxonB1+yTLZt21ZvvfWWU9nUqVNNAzSvXbum+fPnG7a3wt69e1WrVi2Ppi/PlCmTSpQooRIlSqhSpUp6+OGH9dBDD+n48ePpPkCzR48ehmxFRYsWVf/+/S3dz+jRo1WzZs0kb3pKt7L5usqM5q2QkJAUz4Rh1p9c9e20FBjw4osvqmjRoqpdu3aK7XP48OFat26dU1lQUJB++OEH+fv7+1x/WhxzrRQfH6+uXbsazsMaNWqYTqOZWux0nMzakpb6sbfsfgwcDofi4+MVGJimL9FTXUJCgr777jutXbtWixYtUtasWU3Xs9P5AM/Ur1/f5YMzt924cUOXLl3Svn37tGrVKo0dO1a7du0yrOdwOPT222+rcePGPn8mc06ljNdff13Dhg1ze31/f38VKFBAJUqUUOnSpVW9enXVrl1b+fLl0zPPPONzgGaTJk2UNWtWwxT3UVFRpgGaZtkzs2bNqmbNmvnUDnedOHFCLVu21MqVK1MsiCutXKshbQoICFC5cuWc/k4tLfIEqWmuQM09bf11dfPcgWqRJ+nAPQKeYSd26p8AjOijgH3RPwF7o48C9kX/hJ2l6bu/tWrVUp48eXTy5Mk7ZQkJCZoyZYpeffVVp3V///13w/YVKlRQiRIlkqVtUVFRhmC/u2XPnl316tVTlSpVVKZMGRUtWlSFCxdWaGhosrQnpbnKwhUSEpKsGbp8ucFUqFAhPfjgg9q4ceOdsmXLlunixYuGzJjz5s3TtWvX7vwdEBCg1q1be73v2y5cuKBHH33UZXBmUFCQqlevrpo1a+r+++9XsWLFVKRIEWXPnt3nfadF06ZN07Rp0wzlI0eOTDRjljfy58+vpUuXqn379tq0aZOldbsjPDzcNEDz7unUrWYW0OJq6l2rMoVapX79+nrppZf05JNPGrJW3rhxQ48//rjWrl2r4sWLJ3tbjh49qr59+xrK33nnHacLRF+4GlcDAwOVOXNmS/Zhxi5TMQ8bNsxp7Jak4OBg/fDDD/Lz80ulVhnZ6TiZldmtHycHV8fA39/fp2llk2J2fBMbT5OzLXa3cuVK1axZM9F1YmNjde3aNR05ckQ7duzQ7NmzFRUVZQj82bx5sx5//HEtW7bMdCxwdT5EREQka+YiT38QcOc9ceWTTz7RBx984NW29woICPApkLtBgwZasmSJJW1xR3BwsHLkyKEcOXLo4Ycf1ttvv62hQ4eqd+/eSkhIcFp3586dmjt3rpo3b+7TPtPidyBvpdb5MHTo0ESDM/Pnz6969eqpcuXKKl26tIoUKaKCBQsqODjY67YmJSgoSO3atdP333/vVD5jxgyNHDnS0OfvnYlBuvXgqJVtDAgI0JAhQ7R9+3b9/PPPhuWbN29Wp06dFBUVZcnDQklJK9dqSJv8/PyS9VraUz9UDFPZJVd08aZ1wfORQX76/gGyYiLtsVv/BOCMPgrYF/0TsDf6KGBf9E/YWZoO0PT391fbtm31zTffOJVPnjzZEKBpNr15cmXPvHLlinr06GGayeSBBx7Qxx9/rCZNmqTr7Ej3ZjC9rWXLlqbHwi7atm3rdOPo5s2bmjVrlmG6uXtvqtWpU8eSIMkPPvhAhw4dMpRHRETonXfe0QsvvKAcOXL4vJ/04PLly+rRo4eh/KmnnlLDhg2TZZ9FixbVunXrNHLkSH3zzTemUxMmxd/fXwULFjQ9zonJkyePaeDukSNHUvSmvKuAIqszhvrixRdf1PDhwxUYGKjvvvtO3bp1M6xz7tw5NW/eXGvXrjUEYFvtpZde0tWrV53KSpQooffff9+yfbgacytWrKj169dbth87Onz4sGnwUe/evVWmTJlUaJFrdjpOZn356tWrcjgc6TpQIiwsTBEREYYxK1u2bPr3339TtC2Jjaf/5QBNd4SGhio0NFRZs2bVAw88oM6dO2vv3r1q1aqV4bP5jz/+0K+//mo6dbCrPvnbb7+padOmydJ2pB5/f3+99dZbunbtmvr162dYbkWAZlr9DpRWHDlyxOX1U506ddS/f3/VqVMnVT7HOnXqZAjQPHPmjFauXKlHHnnkTtn+/fu1detWw/a+Tm9+t0yZMmnixIlq2rSpbt68qYMHD2rZsmWG9aZPn64+ffroiy++sGzfZtLStRpghbwZ/BVVNUxN10TrekLS6yclxF+KqhqmvBmSP5gaAAAAAAAAQPJI87/umQVZrl69WidOnLjz965du7Rz507Deu3atUuWNo0YMUKnTp0ylHfp0kXr169XixYt0nVwpnQrG6WZc+fOpXBLPGM2Tfm9U9Bdv35ds2fPdipr06aNz/s+ceKERo4caSgvVKiQNm7cqL59+xKceZfevXs79XPpVmbaoUOHJut+AwIC9Morr2jPnj3asGGDBg0apI4dO6p8+fLKly+fIiIiFBAQoNDQUOXMmVOVKlVS27Zt9dFHH2nWrFk6c+aMxo0b5/F+7dKnChcubFr+zz//pGg7zAQEBOh///ufRo4ceWeM7dq1q9555x3T9ffu3as2bdoYMmxaadKkSZozZ46hfNSoUZZmTM6SJYsiIiIM5XYfc63QvXt3RUdHO5WVLFnSNGtparPTcTLrywkJCTpw4ECKtyWlmY2nFy5cSPF22Hk8TYtKliyp2bNnm2ag++mnn0y3sctnK1LWO++8YxogvXr1ap/r5pxKXoMGDTLNKN+3b18tW7ZMjzzySKo9ZFCzZk3T43/vg31m05sXK1ZMNWrUsKQdhQoV0po1a+4EmQcFBSkqKkolS5Y0XX/w4MGmGTatlJau1QCr1MsRpLk1MioyyLcxKTLIT3NrZFS9HMmX2RsAAAAAAABA8kvzAZoPP/yw8uXL51TmcDicpjQ3y1bywAMPJNv05mbTqZcuXVo//PCD19MlJmcAUXLImjWr8ufPbyi3e9BBsWLF9MADDziVLViwwGk680WLFjlNA+vv76/HHnvM531PmzZN8fHxhvLx48d7fa6mtfPGXatXrzZkqJFuTXmYktO9P/jgg+rdu7fGjx+vrVu36tixY7p06ZLi4uIUExOj06dPa9OmTfr999/14Ycfqnnz5qbThrujQoUKpuUp3afKli1rWr5t2zaf6t2yZYuKFy/u9CpRooThZm5iRo0apddff91QPmjQID3++OOm2yxdulQvv/yy1+1OzIULF0zb89xzzzllUrJK+fLlDWXHjx9XbGys5fuyiwkTJmj+/PlOZX5+fho1apRCQkJSqVWJs8txSq6+PHLkSENftuIz0kpm42lcXJwOHjyYou1IrmMwa9YswzF46KGHfKozrShevLjq169vKF+3bp1hSmvJPp+tSFmhoaF6+OGHDeVmD9h5Kq1+B0oLEhISTIMbGzZsqE8++cTrwEyrvi/5+fmpY8eOhvJp06Y5zaxhNr15586dLWlD9uzZtX79epUrV86pPEuWLJozZ47L70ndu3fX8uXLLWnDvdLitRpglXo5grSjfiY1zeXdA9rNcgdqZ/1MBGcCAAAAAAAA6UCaT+Po5+entm3b6uuvv3Yqnzx58p3AGLOAyeSc3vzuKbJv69Spk9fBmZJ07NgxX5qVKqpWrWpo95EjR3T48GGX2WXcdfr0aW3fvt1QXrt2bdPMSZ5o27at/vrrrzt/x8TEaN68eXeyZN57U61GjRoupzP0xNKlSw1lxYsXN72B7K60eN4k5caNG+rWrZvTjU7p1s1ZK6cGtJuqVaualq9YsUJ169b1uf5ly5YZAoRLlChh6KtZsmRR/vz5DefWunXrfN7//v37ncoKFSqkjBkzul3HfffdZ1ru5+encePG6ciRI6bj848//qiSJUvqrbfe8qzRSXjrrbd0+vRpp7JcuXJpyJAhlu7ntqpVq2rVqlVOZdevX9e6detUp04dn+q+dOmSNmzYYCh/6KGHTDNCpoTz58/rjTfeMJR37dpVtWvXTvkGuckux8ksUFS61Zd9CaicO3euoS/XrFnT6/qSQ9WqVfXrr78aylesWKEiRYr4VPeNGze0YsUKQ/n999+vXLlyOZWVKlVKQUFBhuAgX8fTRYsWGY6BWcBYelWmTBnNmzfPqSw2NlYXLlxQtmzZnMorV66sgIAAw+ef2TH0xpYtWwyZE7Nnz254GAgpzywrvVWZdNPqdyC727lzp+G6Sro1S4UvrPy+1KlTJ3322WdOZcePH9e6detUrVo1HT9+XOvXrzdsZ1WAZubMmZUzZ07TZcWKFdO0adPUoEEDXb9+3WnZzZs39fjjj2vt2rUur6e9kVav1ZD2xMfHa9euXXf+LlOmjAICAlKxRf8nXwZ/zakRrlknb2r4geta9G+cHIms7yepYc5A9SgaohZ5CMxEIormSnodG+zDzv0TAH0UsDP6J2Bv9FHAvuifsLM0H6Ap3Qq2vDdA888//9SxY8d08eJFpw54W3JNb37y5EnTcl8C+OLj47VgwQKvt08tTZo0Mc0QEhUVpTfffNOnunv27KnffvvNqSxbtmw6c+aMT/VKtwI033//faeyqVO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      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "unique_objects = fed_dist_bachelor_df['object_name'].unique()\n",
    "\n",
    "for i, fed_dist in enumerate(unique_objects[2:4]):\n",
    "\n",
    "    fed_master_df = fed_dist_master_df.query(f'object_name == \"{fed_dist}\"')\n",
    "    fed_bachelor_df = fed_dist_bachelor_df.query(f'object_name == \"{fed_dist}\"')\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(6, 6))\n",
    "    dfs, ax = bachelor_vs_master(fed_bachelor_df, fed_master_df, ax)\n",
    "    ax.axhline('Медицинские науки', color='gray', ls='--')\n",
    "    ax.set_title(fed_dist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i, fed_dist in enumerate(unique_objects[:2]):\n",
    "\n",
    "    fed_master_df = fed_dist_master_df.query(f'object_name == \"{fed_dist}\"')\n",
    "    fed_bachelor_df = fed_dist_bachelor_df.query(f'object_name == \"{fed_dist}\"')\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(6, 6))\n",
    "    dfs, ax = bachelor_vs_master(fed_bachelor_df, fed_master_df, ax)\n",
    "    ax.axhline('Медицинские науки', color='gray', ls='--', zorder=0)\n",
    "    ax.set_title(fed_dist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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rcMTRCJcPPfSQ2306Y/v27WrevLnOnz9vWJY7d24tWbJErVu3ztQYbrhTjxPIfAEBAapXr17qw5nzTMBXHvsjxuORKW/1b6Jdj+10ffaFrEB+AtZGjgLWRX4C1kaOAtZFfsKb2Hq8zFExQVZdhLhVmzZt9NtvvxnaHcV5/vx5QzFbu3bt1KdPH23evNnhevz8/BQSEuLU9JgTJ05U/vz59Z///CfD1zry7LPPprnQFRYWpocfflgDBgxQpUqVFBYWpsTERJ0+fVqLFy/W119/7bBw6v3331fTpk3VoUOHDNd75MgRhyP25MqVSw8//LB69Oih2rVrK2/evKnLbkyD/ttvv+nrr782Hf0jOjpazzzzjNMjnz3yyCMOp4xt2rSpHnvsMbVo0ULFihWTdH0ErB07dujHH3/U5MmTTb+r6dOnq3v37k6NQPLUU085nOY4MDBQ3bt318MPP6w6deqoYMGCstlsunjxovbs2aNvv/1Ws2bNMi2SOXXqlB5++GGtWrXK7dFYnCnWSU5OznC6xRUrVujLL7/Uk08+meE6ExMT9eijj5pegLXZbHrggQfUr18/NWzYUBEREanL4uPjdejQIa1evVrTpk1zuJ2OGDFC3bp1U3h4eIax3IlGjx6tI0eOeKWvmJgYdejQQX///bfp8oIFC2rIkCHq3r27qlSpouDgYCUnJ+vs2bNavny5Zs6caTodaVJSknr16qXdu3erRIkSXok1q8TExHi1YPVOs3//fj3wwAOKj483XV61alU9+uij6tKli0qUKKGAgAAlJCTo8OHDqft9s6krz5w5o27duun333/32gm9zWZTvnz5nH59UlKSrly54tE6Z86cqcWLF5suK168uB577DHdd999ql69epri+rNnz2rXrl2aN2+e/ve//5mOCrx//3598sknev311z2K0ZtiYmL04IMPOix4K1CggPr3768+ffqoYsWKyp07t5KTk/XPP/9o3bp1mjFjhhYtWmR6c8nKlSv1zjvv6O23387sj5HlJk6cqA0bNvg6DK9avXq1Bg4c6PBGocaNG2vQoEFq3769ihYtKj8/P8XFxWn//v1avHixvvrqK9Mpfvfu3auBAwc6PYVwSkqK+vfv77BA+0Yc9913n4oWLaqAgAAlJSVp9+7dmj9/vsaPH6/Lly8b3jd8+HC1aNFCZcqUcSoOd5w/f16tW7c2HW3d399fkydP1qBBgzJt/bfavXu3PvzwQ6/1N2bMGH311Vemy2w2m3r06KG+ffvq3nvvTd13X7lyRVu3btWvv/6qKVOmmJ4vT58+XXXr1tXTTz/ttVhvJx9++KF2795tuqxSpUp67LHH1LJlS1WpUiV1xga73a6TJ09qx44dmj17tn744QclJSUZ3r9y5UrNnDlT/fv3d7j+fv36mc7YMGfOHLdmpdizZ49pEW+9evVUqVIll/tz1saNG9W+fXvT84ACBQpoyZIlqlOnTqat/1Z34nECAG7269lELfrHeOzxhoXnkvTr2UR1LmKcqehmZ86cUVxcXKbEgP8vR44cKl68uK/DAAAAAAAAHmCESi86ffq06chVOXPmVPXq1X0QkRxe0HFUtHXrxUw/Pz/t2LFDv/76q6G9Y8eO+uGHH3TixAnFx8fr2rVrio6O1oEDB/TRRx+pWrVqDuMaM2aMRyO53VxYVadOHe3cuVMTJkxQ/fr1U0fdyZEjh0qVKqXHH39c27Zt04cffmg6BbokDRs2zKkfFN977z3Tgo+aNWtqz549+uKLL9SyZcs0xZSSFB4ersaNG+utt97S4cOHHV4YXrFiRYYjC0nXRxhduXKloT00NFTff/+91q5dq/79+6cWU0rXixwbNWqksWPHateuXSpfvrxp35988kmG6589e7a+++4702U1a9bUtm3bNHPmTLVr106FChVKLYwsUKCAWrRooSlTpqROLWdmzZo1TsXhyIIFC3Tx4sV0H5GRkYqJidGePXv06quvOhwt8v3333dqRNVZs2aZjjCaO3durVixQnPmzFH37t3TFFNK14ecrl69uoYPH65t27bp888/Nx3JLDIyUr/88otzf4A7zM6dOzV27Fiv9ffSSy+ZXgSXpCFDhujQoUN69913VadOndTiL39/f0VERGjgwIFaunSpVq1apaJFixref+XKFa9OE5pV3nzzTR07dszXYaRr8ODBstvtbj3MCpaclZSUpP79+5sWGwQGBuqzzz7Trl279Oyzz6pMmTKphZGBgYGqUqWKRowYkXp8MBuxeOvWrfr444/dju9WRYsWzXD/d/PD06nq7Xa7Ro0aZbqsb9++2r9/v15//XXVr1/fMFJxkSJF1K5dO3355Zf666+/VLduXdN+vvnmG7fjK1u2rNvbzaeffmra50svveRw9LqePXvqwIED+uSTT9SgQQPlzp1b0vV9SNGiRfXggw9qwYIFWr58uUqWLGnax3vvvef2KGf+/v5uf97MPMacOXNGL7/8cqb17wtXrlzRQw89ZDqiaO7cufXdd9/p999/15AhQxQREZE6Ol5wcLDq1Kmj1157TX/99ZdGjx5tegPJ3LlzNWvWLKdiGTt2rOlU2SEhIZo0aVJqHDcKvqXrd2nWqVNHo0eP1oEDB3Tvvfca3h8bG5upI0OeOXNGzZo1My2mzJEjh77//vssLaZMSUnRkCFDTIvs3LFlyxa9+eabpsuqVKmiTZs26ccff9QDDzyQphA+d+7cat26tT777DMdOXJEXbt2Ne3j5ZdftvyxOzNER0frgw8+MF02cuRI7d69W88995xq1qyZ5v9+NptNJUqU0AMPPKAZM2Zo165dDouFMzru9OnTx3TES0fTdmfEF6NTrl27Vm3btjU9vylatKjWrFmTpcWUd+JxAgBuNf6o+Q163jLBif79/PwUExPDI5MfFK0CAAAAAHD7o6DSixxNOValShWnphjLDDVq1DBtP3HihGmR2KFDh9I8v+uuu/Tee++laStbtqzWrl2rBQsW6MEHH1Tx4sVTL86GhISoYsWKqRezPvzwQ9MCErvdroceesipES3TU61aNa1ZsybDkXNsNpuef/55TZ8+3XT5yZMnNXHixHT7SElJMb1Ilj9/fi1ZskSlS5d2KuacOXNqypQpatq0qeny33//PcM+xo0bZ2gLCAjQ3Llz1bt37wzfX6ZMGS1YsMD0u1m7dm2601YmJCToqaeeMl3WqFEj/f77704VEJcuXVorVqzQ/fffb7r8tddec2oqVU/kzJlT1apV07vvvquVK1eaTrN46tQpp6Y1//HHH03bZ8+erRYtWjgVj81m0xNPPOGweCE7jtiSnJzs1eKGTZs26fPPPzdd9sEHH2jSpEnKkydPhv00b95cmzZtMs373377zbTg2ap27NjhsHAM0scff6w//vjD0B4aGqrFixfr6aefznA6Z39/fz3++ONavHix6X73vffeczjisKvy58/vlX6c9ccff+jw4cOG9ubNm2v69OlOTXEsScWKFdOiRYtMR9c8duyYzp4963Gs3rBr1y6H+5Cnn35aP/74o1PfQcuWLbV582aVLVvWsCwpKUmPP/64x7FayZNPPunyFNZW9/LLL5uOCHnXXXdp7dq16tu3b4Z9BAUFadSoUfrf//5nuvzVV1/N8Ph3+vRp0xFcc+TIoQULFmjIkCEZxlGwYEEtXLjQ9Gao2bNne1SU7siJEyd077336sCBA4ZlwcHB+uWXX9SzZ0+vrzc948eP15YtW7zSV0pKih555BElJycblt19991av369UyMZFi5cWD///LPp9xgbG+uwoP1OtmTJEtP9Sf/+/fXRRx85vIHuVlWqVNGvv/5qelzetGlTutN+FytWzPTGsMOHDzscOTM9Zv/HDAgIcOr/de5YtmyZ2rdvb/p/8VKlSmndunWqUqVKpqzbkTvxOAEANzsWnazl5zNndMoblp1P0rFo47nHzRzdTAwAAAAAAIC0KKj0IkcXG0uVKpW1gdwkPDzcMFqidL0o7p9//jG031oUcebMmTSjblavXl3btm3TPffck+G6bxQxzp8/33Qq0/Pnz2dYxJienDlzat68eU4Xa0hS79699dxzz5kuGz9+fLojEe7bt890iuhXXnlFhQsXdjoG6frfZsSIEabLzKYDv1l0dLTpdMOPP/64S1PLV6hQwfRCdUpKSrpTK8+aNUvnzp0ztJcoUUILFy5USEiI0zH4+/vrhx9+MB2VLC4uTpMnT3a6L081atRIzzzzjOkys6l6b2VW7NipUye1atXK5VieffZZ0wKtjLaNO9Fnn32mbdu2pWkLCgpy+yLA6NGjTfN86NChevHFF13qq3jx4vrhhx9ML9x7c7rQzJScnKxHH33UUPDhTFFpdhAdHe3wu5w8ebJatmzpUn8tW7Y0HVXrypUrmjRpksvxmRV7FChQwOV+POGo0Pujjz7KsND0VoUKFXI4GpdV9n/jxo0z3Yd07tzZ5cLkwoULa+nSpakja99s+/btTt1gcTuYM2eO6eiXN0bvvB2dPHlSU6ZMMbQHBATop59+cnhDkyMPPfSQ6TnI0aNHMxzxbty4cYqPN45G9Mknnzh9Q4d0vUjcbGrq5ORkhzeNuOvIkSNq2rSp6flmaGioFi1apA4dOnh1nRk5ceKEaWGqu8fDH3/80XTk8mLFimnevHmm/z9zxM/PT59//rnq169vWDZz5kzL7B+zitlxJyAgwK1zrypVqqh9+/aG9tjY2AxvdOjXr59pu6PRJh05fPiw6Sit9913nwoVKuRSX85YsGCBOnfubHoDXcWKFbVu3boMb1b0NiscJ86ePavTp09n+oOi0cxht9sVFxeX+nBmhgkgq629lKzM3jLtktZdoqASgPM4hgLWRX4C1kaOAtZFfsKbjFVucNulS5dM24sUKZLFkRjXb3ZB6OLFi7rrrrvStJmNtHNDwYIF9dtvv7l8YfG+++7T2LFj9fTTTxuWjR07VsOHDzcdGTAjjz/+uFsXe958801NnTrVUBx59OhRrVu3znTKQ8lYbHpDnz59XI5Buj46jZmMpoXZsmWL6WscFWimp1GjRqZTd6c3QuX48eNN2z/++GPTkcUyEhwcrM8//1yNGzc2HNAmTpyol156yeWiHHd16dJF//3vfw3tZsXHN4uMjNTly5cN7e5uG/nz51eFChUMhZzZbcqg48ePm06V+eqrr+qbb77R8ePHXepv165dWrJkiaG9RIkSbo/Q2KBBAw0cONBQ/Lt06VKdPHlSxYsXd6vfrPLJJ58YRl8MCgrSBx98cFtOXe5tX3/9temxvWfPnm6PGvXMM89o4sSJOnjwYJr2KVOm6KWXXnKpr9jYWENbVo9QaXZsLF++vMPpuzNy991367PPPjO0W2H/d+nSJc2cOdPQnjNnTk2YMMF02uaMlClTRm+88YZpQfeECRMcnivcLq5evarhw4cb2gcNGqSjR49qzZo1PojKc2PHjjWd6vu5555TkyZN3Orz3Xff1fTp0w3n7FOmTNGDDz5o+p6oqCjTYuyqVatq2LBhLsdw9913q2nTplq3bl2a9hUrVmjkyJEu92fmwIEDatWqlWkRYN68ebVo0SI1atTIK+tyxRNPPGEYra9SpUrq2rWrYbR+ZziaknrSpEluFb7nyJFDn376qeGmtuTkZE2bNk2vvvqqy33ersyOOy1atDD8v9ZZd999t+bNm2doz+i406NHDz355JOGgubZs2dr9OjRTq/fUdF0Zkz3PWfOHPXu3dt0/1WzZk0tXbo0U4o402OV44RZwXJmGDVqVJrtIyUlJd3RUG/l7+9vON9wZSR/m81m+L+13W43HU3XET8/P8MMLMnJyS79OH3rDbeexpCcnJzmJrx69eqZ3tSbXgyS539LK3yf3ojB19+nVWJw9W+Z0Ta3PTJzR6dMXc+/SXq4hHH05RsCAwNls9m4oIRU6e132Ec4juFO2ecnJCQ4fQy9U88jvBGDZI3v0wox3Anfp1X2EfHx8R7lpxW2qTvl+2Qf4b0Y7oTv80YMSUlJTuXonXwewT7COzFId8b3aaV9hCf5aYVt6k75Pr2xj/DWDKaeoKDSixwVoeXKlSuLI0nL0QiOZoUY6Y1w8u6776po0aJuxfDkk0/q66+/NkyBdvbsWf3yyy8OLxQ74ufnpxdeeMGtWPLkyaPHH3/c9OLor7/+6rCg0mx0ysKFC7v9N3FUfJjRTtpstMQSJUq4NRKq2YhGkhyOmrN//35t3brV0F6vXj316NHD5fXf0LBhQ3Xt2tUwosvJkye1YsUKtW3b1u2+XVGwYEHT9oymDjTbNiSpTp06bsditn1ktx+8hw0bpujo6DRtVapU0csvv6xvvvnG5f7MCqGk66PMBgcHuxWjJI0cOdJQUJmSkqIFCxZYetreY8eOmU4V+sYbb6hChQo+iMh6zLYZPz8/lwolbmWz2fTcc88Zip3++usv/fnnn6pcubLTfZkVe2T1CJVm+z9v7/ska+z/Zs2aZfo3f+KJJ1SiRAm3+3322Wf18ccfG4r3Z8+eraioKJdG4raal156yXBuWahQIX300Ufq1q2bV9aR1cW2KSkp+uGHHwztoaGhLo90fLNcuXJp6NChev/999O0r169WlevXlV4eLjhPTNnzjTNwVdffdXtm1F69OhhKKjcu3evW33das+ePWrdurXOnz9vWFaoUCEtXbpUNWvW9Mq6XDFr1iwtXLgwTZvNZtOkSZO0YsUKl/v7888/tXPnTkN7o0aNPBp58+6771ajRo20adOmNO3z5s3LVgWVVjnu5M6dW506dTIURO7du1d//fWXypcv79T6zUa0DA8PV5cuXZx6v7NmzpypAQMGmP4I1bBhQy1evNilkVO9JSuOE1Z24cIFhzdumqlZs6bhvGDPnj3p3hB5s/DwcFWvXj1N29WrV13az1eqVMlwA8+hQ4dMbzA0ExQUpHr16qVpi4+P1/bt252OoXTp0obfYeLi4pSQkCBJ2rp1q+HH6FuZzbqyefNmp2MoUqSI4Qbfc+fO6dixY073UbduXcP/Q3fu3Onwd5pb5cuXz/B/h8jISB04cMDpGKpVq2YYDXb//v1Oj6YaEhKi2rVrp2mLjo7Wrl27nI6hXLlyhllfjhw5ogsXLjj1fn9/f8PNGMnJyS59n8WLFzecz586dcrhTETOxHCrg1HOX4jwxMFrGa+HgkrcbPfu3abXCCT2ETd4uo+Qrp9v3Xqxddu2bU5fbC1YsKDhtzpvnEfs27cvzfeZ3jH0Tj6POH78uM6ePet0H5xHXMc+4rrM2kf88ccfTudnZu0j+L/GdewjrmMfcd2NfURKSoquXbuW2u4oR+/k8wj2Edexj7jOSvsIZ/PzTj6PuFP2EbcOCuULTPntRTd+vL1VYKDjO4OzgqP1m12Avnl675uVLVtWgwcPdjsGPz8/02n0JJlO75WRxo0buz0KiSR17drVtN3R1KXS9RHJjh07luaxY8cOt2PIaBo5R3r37q2//vorzcPdaUHXr19vaAsLC3M48qfZ6H6S9PDDD7u1/ps5GoXFbHrzzOLohKdixYrpvq948eKGbePYsWMeFaW5u33cKWbOnKnffvstTduN4gZ396k///yzoS0wMNDjEYAqVqxoetF85cqVHvWb2YYNG2Y4kalWrZpHBUF3khMnTmjLli2G9saNG6tKlSoe9d25c2fTdle3GSsUVH788ceGfd8XX3zhdn9W3vc5OgYOGDDAo35z5MhhOuJpQkLCbTuCo3T9nMpsCulPP/3UrRGtHd2F7+wPJt6yYcMGnTt3ztB+//33e5x/ZvuGxMREQ4HjDfPnzze0BQcHe1SI1aBBA/n7+6d5nD171jB6o6t27NihFi1amBZTRkREaO3atT4ppoyMjDSdbn3IkCFq2rSpW32anW9I8uj/UjeYbSPbtm1L8wPRnW7WrFmG444nBaWeHHccTfvtaNTJW506dcr0ZrXu3bt7dUrWqVOn6qGHHjItpmzevLmWL1/uk2JKbx8nAMBXMirglaS45KwpYIxzom7TnZH1AQAAAAAAshtGqPQiRxc9PL0A6SlHF9hCQkIMbVeuXDF9bf/+/Z36gTA9nTp1Uq5cuQwjzqVXxOiIJ6O7SNdHVCxUqJDhou6uXbtkt9tNf1wMDQ316ihR7hZb5cuXzysXmFatWmV6If6BBx5wWLRw64g4N/Ts2dPjeDp06KCQkBBDgZejdWaGH3/80dCWJ08eNWvWLN33BQQEuDVCqCNnzpwxTAecnVy6dEnPPvusoX3YsGGmd+4448yZMzp69KihvWnTpl4ZRbhZs2b666+/0rRZ4a4JR2bMmKGlS5emafPz89PkyZMzHJE1uzArOJekdu3aedx30aJFVa5cOcPdPa5uM2Y3QRQpUsSj2FxVoEABrxZxWrkQ2ex4VKlSJcNdU+7o0aOH6VTnmzZtUseOHT3uP6slJCRoyJAhhpFv2rdvrz59+rjVp6NzH1fuSvYGR8WN3tg31K9fXzlz5jSMEPPHH38YtoOUlBStXbvW0EerVq08Ol9t1KiR16dR2LRpk9q1a2f6/4wyZcpoxYoVXj2PcsXzzz9vGB22SJEiDqfsdkZmbiNm56QpKSnatWuX29PN3248uanOjCfHnQ4dOihPnjyGUTNnz56tl19+OcP3z5kzx3SEMG9O9/3ll1/qySefNF1Phw4dNHv2bI9GandXZhwnAMBXnJkGK9g/a4oYg5346ZbRKQEAAAAAADJGQaUXhYWFmbY7mg44qzhav1m8joovPZnO+YacOXOqWbNmWrRoUZr2kydP6uLFiy4VZNSoUcOjWGw2m6pXr26Yxi8mJkYXLlxQoUKFPOo/I9u2bdPIkSMzdR3p+emnn/Too48afvQNCgpKd4SXPXv2GNoiIiK8cmEzMDBQ1atXNwyDfOs08Znl+++/Nx0hZdSoUV4dISYj//zzj3r37u30MMx3opEjRxqG0y5atKhhGlRXmE29KUlVq1Z1u8+blSxZ0tB27NgxJSUlOSxQ9pWLFy9qxIgRhvYnnngiw2nKspOs2GZuLag8dOiQS32YjZJ363QDt5Pp06drypQpvg7D1Pnz501H1rt1igh31alTR35+fobjclYdA71tzJgx+vPPP9O05cqVS19++aXbfTo6T1y6dKliYmJMbxTKDJm5b8iRI4eKFi2qI0eOpGk32zf89ddfpuftt05z4Wtr165Vp06dTGOtUqWKli1b5rP91qpVq/TNN98Y2sePH688efK43a/ZNhIeHq6IiAi3+7zB7HxDur6NZJeCSm9JSUnRhx9+aBgR3RVBQUHq0aOHvv766zTt27Zt04kTJwzTtdzKbCTL4sWLq3nz5m7HdLNPPvnE9JxPun5D3HfffeezG2ky4zhxOypYsKBhuqr0+Pv7G9pcubHD7MbR8PBwNWzY0Ok+zG60rVChgkcFWkFBQR7HEBwcnFocXK9ePbf+D+ZKDGZ/y7vuusul35LMvs9atWp5FEPevHld+hxmMVSpUsWj7zNXrlwef59ly5Z1OHOKM/z9/T2OISIiwqvnKBVD/bTU+N8Jr6sYlnFFJQWVuFl6v7Gzj3Acg6v7CLO/pSu/J5jt871xHlG1atU0gxukdwy9k88jSpYsmeG5e0Y4j7iOfcR13thH1K5dW9u2bUt97mp+8n+N69hH/H/sI67z1j4iKSnJqRy9k88j2Edcxz7iOivtIzzJzzvlPOJO2UdY4XqXtao8bnOORs6xakGl2bRe8fHxhraQkBCPpze9oUaNGoaCSkk6fvy4SwWVlSpV8jiWKlWqGAoqpesFKt4oqIyJidHx48fTPP7++2/t2bNHe/fu9bh/V0RFRenYsWNav369pk+f7nDUx88//zzdv+3x48cNba4cYDNSu3ZtQ0Hl1atX9e+//3p0YdtMbGyszpw5oy1btuh///uf6VSuDz30kOlIiZ5KTEzUqVOn0mwXx48f16FDh7RlyxYlJiZ6fZ2PP/6425/FbL+QWZYvX67//e9/hvYJEyYoPDzc7X73799v2u6t4mmzk4qUlBSdPXtWxYsX98o6vOW5554zjGwYERGhMWPG+Cgia/LFNnP69GmX+rgdCyojIyNT93k37wO3bNni8ufPSmbHP8l7x8CQkBBVqFBBBw4ccGq9Vvbnn3/qvffeM7S/8847DovBnFGoUCEVKVJEZ8+eTdN+8eJFjRkzRv/5z3/c7tsVWbFvuLWg0iw3bh0V+YZq1ap5JQ5vWL58ue6//37D6OPS9SLiJUuWeHWEW1fExcVp6NChhvYuXbqoe/fubvd78eJFw00hUuYeOyTXjx/eUqNGDbdnMciqWRwuXLiQ5nz7xr83btxoOtKzq/r162coqJSujz6Z3rn3+fPnTUfD7tevn1emYh0zZoxee+0102WDBg3S5MmTTX/oygqZdZzwxNatW7NklO9bb2r18/PzeCYQT2/estlsHvfh6bbkjRhuzpuAgAC3+vM0Bit8n96IwQrfpxVi8Mbf8mZ18wZISvBafw7Xkyf9z52QkEBBJdJwNVeskJ9WiOFO2ud7cgy9U75Pb5wXW+H7tEIMd8L3aaV9hCf5aYVt6k75PtlHeC+GO+H7vDkGd3P0Tvk+2Ud4Jwbpzvg+rbaPcDc/rbBN3SnfpxX2Ed7g+wjuIGXLljVt98aFGnclJCSYjgiTO3duFSxY0NBuNsVf1apVvfYjoqNiPbOikPR4o2DEUR9mF33T888//2jlypXas2ePDh06lHqhzuxialY5deqUS0VcefPm1ZdffqkHH3zQ4WuuXr1q+rcpVqyYWzGacfSdnDt3zqWCyqZNm3ocy2OPPaYJEyZ41Ed0dLRWr16tnTt36s8//0zdNk6fPu3UlFDeFBUVlWUXrt0VGxurYcOGGdq7du2qrl27etT35cuXTdtff/11vf766x71nZ7IyEhLFVQuXbpU3377raH9888/dzjKcnblaJvJzBHAIiMjnX5tXFycLl26ZGj35j7ZE3/++ac2bNigPXv26MiRI6n7P0cjYVvdrUV8N3j7GHhrQaWr50e+ZrfbNWTIECUkpL1YXK9ePT399NMe99+6dWvNmDHD0P7uu+8qMDBQr776qkv/wXIl525wtG/wxuiDjpjFeerUKdPXeno3rLcsXLhQ3bt3N70pI2/evFq+fLnpzV1Z5e233zYUpYaFhenzzz/3qF9H28fhw4e9UiTniDvb8u28XjPbt2/X5s2btXfvXh07diy1gDI2NjZT19usWTMVL15cJ0+eTNM+e/bsdAsqf/nlF9P/D3hjuu833njDYZF5ixYtNGXKlEzdHtOT2ccJdxUpUsQy51AA7kz35veXTVJmljLaJDXNn/7Fn8w+LgIAAAAAANwpKKj0ogoVKpi27969W3a73ScXLXbv3m16ocZRrAEBAYbR8QoXLuy1eBwVxblSxOjn5+eVaR0dFQ85Mzqg3W7XvHnz9PHHH2vDhg239d3dderU0cKFCzOctjs6Otq0PXfu3F6LxVFfjtadWSpVqqTnnnvO7SnwduzYoffff1+//vqr4uLivBzdneutt94yjMoVHh7ucWGrJF25csXjPtxhpYsVMTExpgWr3bt3V5cuXXwQkbX5YptxZXs5dOiQ4djj7+/v1WO2q2JjYzVp0iR9/vnnDkfPu1356hiY1cc/T3311VfasGFDmraAgACvjYT28MMPmxZUStKoUaM0ffp0DRgwQM2bN1eVKlXSjOYXFRWlAwcOaO/evdq8ebPWr1/v1ojhVtk3XL161fS1ViiOnzt3riZMmGAomLohMjJS//3vf01HqMsKe/bs0UcffWRoHzNmjMeFsZxvZK3IyEiNGzdOX3/9tcMi48xms9nUp08f/fe//03T/vvvv+vcuXMO/481Z84cQ1vt2rU9nhnihRdeMN2+b1i7dq0WL16sDh06eLQed2X2cQIArKp0Ln+1LhSgZeeNN7J7S5tCASqdi4JKAAAAAAAAb6Cg0otCQ0NVpkwZHT16NE37lStXdPjwYZUvXz7LY9q6datpe40aNUzbAwMDDQWF3iwWcHSR12xkTEe8UUwpXf++zAQGBqb7vlOnTqlv375at26d2+vOnz+/evXqpS+//NLtPrxlx44dqlmzph5//HG98MILypUrl+nrHBWaeuv7SK8vRxfkM8uBAwdUtWpVDRs2TB999JFy5szp1Pvi4uL03HPPaeLEiW6vOygoSL1799aiRYt8OsppVtu1a5c+/vhjQ/v777/vlRFpfVXY6sq+LbONGjVKx44dS9OWO3dujR8/3kcRWZsvthlXtpeDBw8a2u666y6fFSOsX79effr08aigpUKFCqpVq5Z+/PFHL0bmHb46Bmb18c8TZ86c0csvv2xoHzFihNemRm/durVat26t5cuXmy4/cuSI3nzzzdTn/v7+ypUrl+x2u9dGR7XKvsFs5EfJ8fltVho7dmyGr3n//fdVsWJFDRw4MPMDuklKSoqGDBliyOlGjRrpiSee8Lh/zjeyzty5czV48GCPRsmsW7euChUqpMWLF3sUS79+/QwFlSkpKfrll19Mb2b5999/tXLlSkO7p6NTJicnp1tMeeM1vXv31oYNG1S9enWP1ueqrDhOAICVDS8TlKkFlU+VCcrwNSkpKV79P0xGbj0PDwsL89koyVnJ3Ru0AQAAAACAdVBQ6WUtWrQwFFRK0rZt23xSULlt2zbT9pYtW5q258qVyzAaUkYFhq5wNHW4Kz/mObqA7CpHFzyDghz/AHnw4EE1bdrUpUK3sLAwlS9fXuXLl1edOnV0zz33qEGDBjp9+rQlCiol6fz583rrrbc0a9YsLV68WKVKlTK8xtF24M1ppB31ld53kllSUlL0xRdfaNOmTVq2bJny5cuX7utjYmLUunVrbdy40el1BAYGqkyZMqpQoYKqVaume+65R02aNFF4eLjpd3CnSk5O1qOPPmooBrj77rtNL0K7wxfbkCTLjF67Y8cOffLJJ4b2Dz74QEWKFPFBRNbni23Gle3FrKCyXLly3gzHaT/99JP69Omj5ORkp99TqFAhlS9fXhUrVlT9+vXVtGlTVa1aVdOmTbNkQaWvjoG+2ne546mnnjKMzlemTBmNHj3aq+uZOnWqmjRpouPHj2f42uTkZIcjOborKCgoy0f2Mds3ONo2bqfCuqFDh6pMmTK69957s2ydEyZM0ObNm9O05ciRQ5MnT3b4/xRXZPfzjawyduxYjRw50unX22w2FS1aNPW406hRIzVt2lRly5bV6NGjPS6orFGjhqpVq2YY9Xb27Nmm57K//vqroajX399fffr08SgOZ127dk2dO3fW5s2bs3Rk66w6TgCAVXUukkMdCgdo0T/eP1/rdFeAOhfJuIjPGzesuiIpKSnNuVe1atUUEMDlCAAAAAAAYH38guFlrVq10pQpUwztS5YsybILJDekpKRo2bJlpsscFVQWLFhQ58+fT9PmrRF9JMcXeW+ekjEjiYmJio+P9/iCpaPP5ahwLjIyUu3atXNYTJkjRw41btxYTZo0UfXq1VW2bFmVLl1aBQoU8ChOd/n7+yssLCx1tLLY2FjFxsame8H1wIED6tChg7Zs2WIY4cjRiEfeLFRw1JejUTMdWbdunZo0aZLua+Li4hQTE6MTJ05o7969WrBggWbPnm3YRnfs2KFu3bpp1apV6d5F36dPn3SLKatXr67mzZurZs2aqlChgkqXLq2iRYt65eK9M2bMmKH+/fu79d5vv/3W4xFz0jNu3DhD8XdgYKAmT57stZELHG2/oaGhmVr8YIVRCZKTkzVkyBBDsVuTJk302GOP+Sgq63O0zeTNmzfT8taVC0s7duwwtFWoUMGb4Thl48aNeuihhxwWU4aHh6t58+Zq1KiRqlatqjJlyqh06dIu79d9zVfHwNvl7zR37lzNnTvX0D5x4kSnR3l2VkREhFauXKlevXpp+/btXu3bGaGhoaYFla6cy7rK7NzU0ajv3jxv94ZWrVrp8ccfV58+fQwFZAkJCerWrZs2bdqUJQXhJ0+e1GuvvWZof/HFF1WtWjWvrMPRviIgIMCro/7fyldTvZ88edLtadIfffRR0/83Z2T27Nl6/vnnHS4vUKCAWrZsqfr166tKlSoqU6aMSpUqpeDgYLfidFa/fv30yiuvpGlbvXq1Ll++bMjh2bNnG97fpk0bh9ODu+v5559XaGioacHi8ePHdf/992v16tWZ/reRsvY4AQBWNrl2iKquuKZ/E713M0SeHDZ9VSvrRp0EAAAAAADIDiio9LJ27dopODjYMPrhTz/9pHHjxik8PDzLYlm2bJlOnjxpaG/UqJHDizWFCxfWvn370rSdOXPGazH9+++/pu2u3iF94cIFty/e3XBr4egNhQoVMm1/44039Pfffxvaw8PD9eKLL+qxxx5TwYIFPYrJW4oVK6aEhARD0U9SUpKOHDmiTZs2adq0aVq9erXhvX/++ac+/PBDvfXWW2naQ0NDFRoaahhBy5PpXW/lqC9vX1yUpODgYAUHBytfvnyqVauW+vfvr4MHD+r+++83jPy2Zs2adIsKf/75Z82fP9/Q7ufnp0GDBumFF15QxYoVvf4Z7gTHjx/XG2+8YWh/6aWXVKVKFa+tx9EojB988IFXpvi0sk8++cRQfOftgtU7kaNtZv369V7dNt21ZcsWQ1ulSpWyNIbk5GQNGzbMdOToMmXK6K233lKPHj2ypFAjszk6DmX2MTAzjn/edvXqVT311FOG9oceekht2rTJlHWWKVNGmzdv1sSJEzV+/HjTEVsz4ufnpxIlSpie26WnSJEipjfXnDhxIkunT3RUQOftETk9MXToUE2YMEEBAQH64osvNGTIEMNrLl26pE6dOmnTpk3KkydPpsbz+OOPG85jy5cvr9dff91r63B07Khdu7bpfhuuuXbtmp566inTG8Rq1aqlt99+W+3bt/fJyFd9+/bVq6++mia2pKQkzZ8/P83U9tHR0VqyZInh/d68eSlHjhyaOHGiHnnkEUnS4cOH9e233xpet3nzZg0cOFDff/99pp4T+uI4gezFz89PpUuXTvMcsKqiOf00u2GIOvwerfgUz/sL8pNmNwxR0ZzW3O7JT8DayFHAushPwNrIUcC6yE94E1uPl+XNm1ddu3Y1tMfExOj777/P0li++eYb0/ZHH33U4XvMpiXfv3+/12I6fPiwoS1HjhwqWbKkS/38+eefHsdi9rkKFSpkWvhx5swZTZw40dBesmRJbdu2Ta+99ppliiml69PamR0cAgICVLFiRQ0YMECrVq3ShAkTTN8/ceJE0wuVZt/Tzp07PY43vb7y5MmTqSP63KxixYpasGCB6dSu6Y2g8+abbxraAgMDNX/+fH399dcUU6Zj2LBhio6OTtNWsWJF0xGkPOFoH3Pp0iWvrsdqjh07plGjRhnaX3311SwvvrvdWHmbOXv2rE6fPm1or127dpbGMXv2bO3evdvQ3rZtW+3atUv9+/e/I4opJalUqVKm7d46BkZFRenIkSNOr9dKXnrpJcPNNwUKFNDYsWMzdb3+/v568skndeDAAW3dulXvv/+++vbtqxo1aqhYsWIKDw+Xv7+/goODVahQIdWpU0c9evTQW2+9pV9//VUXLlzQjBkzXF6vVfYNjrYNs3PtrObv769PP/1UEydOTC1se/TRR/Xiiy+avv7gwYPq3r27YQRLb5o1a5YWLlxoaJ80aZJX91N58+Y1vYHOCseOO8GXX36pc+fOGdoHDBigLVu2qHPnzj6bRrREiRJq2rSpof3W0SgXLVpkuPkyNDRUDzzwgFfiyJcvn5YtW5ZaTCld/3+MWWzS9dwwO1f0Jl8dJ5B9+Pn5qWjRoqkPfiiH1bUsmEOL7s6lPDk8K2bPk8OmRXfnUsuCvp8ZwxHyE7A2chSwLvITsDZyFLAu8hPexNaTCcxGX5Gkzz77LFMvFN7syJEjmjdvnqE9PDxcvXv3dvg+s+nu/v33X9ORLt1hNjJLlSpVUqeldtaePXs8jsWsCKRy5cqmr507d67pdKbfffedaRGqM7JqW0jPk08+qc6dOxvaz58/b/r3Mds+zpw5o7Nnz3ocS3x8vPbu3Wtor169usd9u6JcuXJq1aqVoX3z5s1KSTEOH7Bv3z7TAt8333xTHTt2dDsOK2wfmW3mzJn67bff0rTZbDZNmjTJ69Nw16xZ07TdCoUnmWnYsGGKiYlJ01a5cmXDlJQwsvI2s2HDBtP2rC6o/Omnnwxt+fPn148//uhw2tuMWHXfV6BAARUuXNjQvm3bNq/0v2PHDtNjTFYfA121YcMGffXVV4b2sWPHqkCBAlkWR7169fTSSy/pu+++065du3Tq1ClduXJFSUlJio2N1T///KPt27frp59+0ptvvqlOnTqZTqPtDKvsG6pWrWrabnb+5oo//vhD5cqVS/MoX7684eaH9EyaNEnPPPOMof39999Xt27dTN+zcuXKTBsxOjIy0jSeRx55RM2bN/f6+mrUqGFoO336tKGIDq4zO+5UrlxZkydPVo4c7hWTePO4069fP0PbsmXLdO3atdTnZtN9d+/e3Ssj3Pr5+Wnz5s1q1qxZmvbAwEDNnTtX5cqVM33fO++8o++++87j9ZuxynECAKymZcEc2tsqTB0Ku3cjQMe7ArSvVZiliykBAAAAAABuZxRUZoIWLVqYjgDx559/asyYMVkSw9ChQ02n4BwxYoRy5crl8H2NGjUybV+2bJnHMSUmJmrNmjWG9nvuucflvhYvXuxRLHv37jUtEq1Tp47p61euXGloK1eunFux3+DNaUI90aNHD9N2s/gaN25s+toff/zR4zgWLlyo2NhYQ7ujbTIzmU3nGxcXp8jISEO72bYhKc3Ufq5KTEx0OCX9neLy5ct69tlnDe2PPvqo7r33Xq+vr0yZMqYXbdeuXeuV/g8cOKDly5eneWzcuNErfbtrxowZWrp0aZq2GwWrZqOwIq2GDRuatntrm9m4caNhmzlw4IBT7721EFm6PsJ0Zk+Xeyuz/V/Xrl09GlXYKsdGM2bHwEOHDmnXrl0e9/3zzz+btvviGOishIQEDRkyxDCidZs2bbw6da3VZPa+YdWqVYZ9w/Hjxw2vy5s3ryIiIgztmzdv9nj9R44cSfNITExM9/8Pt6pQoYJpu81m04wZM1SvXj3T5V9//bU++ugjt+JOz/PPP69//vknTVvhwoUzZV2S+TYSHx/v8XcjSVeuXDFsH8uXL7fUVO+Z5dq1a6ZF7P369XO7mFLy7nGnZ8+ehnOs+Pj41NFR4+PjtWjRIsP7+vfv75X122w2h0WT+fPn18KFC5U3b17T5YMHD3Z4w4a7sutxAgCcVSynnxbeHar5jXKpbaEAZTRepU1S20IBmt8olxY0DrXsNN9wUpnCUqWIzH2UMd4UCAAAAAAAnOOb+bCygQ8++EB33323oX3MmDHq0aOHw1FlvGHq1KlasWKFob1gwYIaOXJkuu+tXbu28ubNaygcmzFjRpppw9yxdOlSXb582dDerl07l/tavXq1Ll26pPz587sVy5w5c0zbHU2FZjYCY5EiRdxa9w1m0w6mJyYmRnfddZdhBKv+/fubTkfurLvuusu0PSoqytDWtm1b09dOnz7ddOQfVziadtPROjOTo6GfzUZSdTQ6pyfbx5IlS5SUlOT2+28HI0eO1IULF9K03XXXXfrvf/+bKeuz2Wxq166dvv322zTtf//9t3bs2OGwmNoZiYmJuu+++3TixIk07d26dTMdhSgrXLx4USNGjDC0Dx06VE2aNPFBRLefatWqqXjx4obi+4ULFyouLs6jKWIPHDigJk2aGPbn48aNc2oq9iVLlhjaMmOUtfTEx8ebHtOz+tiYldq2batffvnF0D59+nR9/PHHbvebkJCgWbNmGdoDAwMNo4xZyXvvvWcYoTkkJMR0JLI7SYsWLRQUFGS4cWnOnDkeT5u7dOlS3XfffYb2+fPnm0413rZtW33zzTdp2jZv3qxjx46pdOnSbsVgNgKgo1E53RESEqJff/1VDRs2NBw3petTA5cvX17333+/V9a3evVqTZ061dD+2WefOSws81T79u1N9wmzZ8/2OKc/+OADvffee2na/Pz8ssWU4plxzp2cnGx6THVX3rx51b59e8NMEbNnz1bv3r21dOnSNKNVSlKxYsXUsmVLr8WQngoVKmjOnDlq27atYWTO+Ph4PfDAA9qyZYvb+49bZdfjBAC4qnORHOpcJIeORSdr3aVkbf83SQevpSguRQr2kyqG+alungA1ze+v0rlcm+EHFvbDC76OAAAAAAAApINbWTNJ48aNTUeaSEhIUNeuXTNt9LlNmzZp+PDhpsvee++9DKfg9Pf3N52Kb/Xq1R5Pa2lWKJUnTx7TC8cZSUpKcrt44dq1a5owYYKhPSgoSK1btzZ9j9lFSk8uXJ49e1aTJk1y6T0hISEqXLiwoqOj0zzMimddcfHiRdN2s5HOKleurAYNGhjad+zYYXoB3lmbN282naK+RIkSatGihdv9uuvgwYOGtsDAQNO/iaPtwN3tIyUlRW+//bZb771drFixQtOmTTO0jxs3LlNH2HvwwQdN2z0phJKk7777zrQoJKsujpsZMWKEIbeLFi2q999/30cR3Z569eplaLtw4YLDAnBnvf/++6bTOzuzzezbt890NK2s3leaFVNKnh0bFyxYoO3bt7v9/sz24IMPKmfOnIb2L7/80nQf4KxPP/3U9LywZ8+eLo0KmJUcjbo+evRorxXiWFWuXLnUqVMnQ/vu3bs9HtHd7G/q7+/vcORmszgkacqUKW6tf8eOHdq0aZOh3dvHs7vuuksLFixQWFiYYVlKSor69eunP/74w+P1xMXF6bHHHjOMjtehQweH5wTe0KxZMxUubBwNaOrUqaajnTvrypUr+vzzzw3tderUyfIRin3B2+fc0vX9962jl3rKbNrvxYsXKzY21vSmvr59+zq8mSszNG/e3OH/Qy9evKhOnTrpypUrHq8nOx8nkPWSk5N19OjR1EdycrKvQwLcUjqXvx4uEajPaoTot3tCtbppqH67J1Sf1QjRwyUCb8tiSvITsDZyFLAu8hOwNnIUsC7yE95EQWUmmjBhgkqUKGFo/+uvv9SiRQvT6fs8sWrVKrVv317R0dGGZV26dNHgwYOd6uexxx4zbX/yySfdHjXvu+++M50K8eGHH3Z76tlx48a59Td89913DSPjSVLHjh1NL+xKMp2+9MCBA6b9ZCQuLk49e/Y0jE7iDLNRTw8fPmxajOgss6ljJalixYqm7Y4Kdp9//nmHBTbpiYuL05NPPmm42C1Jw4YNMx0VMjOdOHHCME2ydH06XTOOprZ1d+rPF154QVu3bnXrvbcLs6m+O3furJ49e2bqetu3b2+6T/7+++9Nv3NnREZG6rXXXjO058qVS3369HGrT09t377dtOBv/PjxHk3FnB0NGTJENptx4rVXX33V4UhZGdm4caPp99OoUSOnRq+eOXOmoc3f31+tWrVyKx53eXvfd/ToUY9Hws5s+fLlU9++fQ3tsbGxeuqpp0yPYxk5evSo/vOf/5gue/LJJ13uL6u8+OKLSkhISNNWu3ZtPffccz6KKGsNHTrUtP2pp54yPQ93xqxZs7RmzRpDe8+ePR3mW/v27VWgQAFD+9ixY10u8rXb7abHZz8/P3Xt2tWlvpxRvXp1zZo1y/Q8Lzo6Wp07d9aZM2c8Wsfnn3+uv/76K01baGiovvzyS4/6zUhAQIDp/7uioqIcnkc74+WXXzad2vvRRx91u8/bibePO1u2bNGLL77oSUimOnfurPDw8DRt0dHRWrhwoebPn294vS+mvh44cKBeeeUV02X79+9Xr169PB4tP7sfJ5C17Ha7zp49m/pw55wMQOYgPwFrI0cB6yI/AWsjRwHrIj/hTRRUZqLcuXPr22+/VY4cOQzL9u/fr3r16nllOtikpCS9++67uu+++/Tvv/8alhcrVkyTJ092ur8GDRqYFmZs2bLFdJS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",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i, fed_dist in enumerate(unique_objects[4:]):\n",
    "\n",
    "    fed_master_df = fed_dist_master_df.query(f'object_name == \"{fed_dist}\"')\n",
    "    fed_bachelor_df = fed_dist_bachelor_df.query(f'object_name == \"{fed_dist}\"')\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(6, 6))\n",
    "    dfs, ax = bachelor_vs_master(fed_bachelor_df, fed_master_df, ax)\n",
    "    ax.axhline('Медицинские науки', color='gray', ls='--', zorder=0)\n",
    "    ax.set_title(fed_dist)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- <font color=\"gray\">\n",
    "\n",
    "- ~~Есть ли разница между зарплатами магистров и баколавров/специалистов?~~\n",
    "\n",
    "- Нужно ли нанести долю занятых на карту?\n",
    "\n",
    "- Отобразить прирост зарплат на графике образовательная категория - изменение\n",
    "\n",
    "- Проявляются ли гендерные различия? -->"
   ]
  }
 ],
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